-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:07
-
Essential Duties and Responsibilities:
- Provides customer service for basic and routine inquiries and problems via multiple possible channels (i.e.
telephone, emails, web chats, or written letters).
- Calls are predominantly routine, but may require deviation from standard screens, scripts, and procedures.
- Uses computerized system for tracking, information gathering, and/or troubleshooting.
- Provides feedback when needed, provide input on call trends, processes, procedures, and training.
- May respond to customer inquiries by referring them to published materials, secondary sources, or more senior staff
Education and Responsibilities:
- High School diploma or GED required
- Minimum six (6) months customer service/administrative /call center experience required
- Must be able to read, write, and speak English and Spanish fluently
- Successfully complete the written assessment
- Highly effective communicator with strong ability to provide an excellent empathetic customer experience
- Excellent listening, comprehension, communications (verbal and written), problem solving and customer service skills
- Experience working with a PC,MS Word and Outlook required
- Must have demonstrated excellent interpersonal and leadership skills and the ability to organize simultaneous tasks
- Proven ability to work as a member of a team, as well as independently
- All CDC INFO personnel will be required by contract to undergo periodic program update training as the program changes
- All CDC INFO personnel are required to sign a Statement of Understanding and Non-Disclosure
Previous experience with phone systems, and headset preferred
- Must be able to work from home and comply with remote working policies and requirements
- Flexibility - Required to work holidays, weekends and /or weekends to meet operational needs
- Must be able to work alternate schedules
- Customer service is the primary function
- Answer Incoming calls, emails, chats, SMS Text, and provide assistance in scheduling vaccines or sending out kits, from general public, clinicians and government officials in accordance with all CDC and Maximus performance standards, policy and procedures, and protocols including but not limited to the confidentiality and privacy policy
- Call, email, chat, vaccine appointments and sending out kits are predominantly routine, but may require deviation from standard screens, scripts, and procedures
- Utilize databases and written materials to look up and provide information to telephone, email, chat inquiries as well as scheduling appointments and sending out kits
- Maintain up-to-date knowledge of CDC Public Response , procedures, and policies to provide knowledgeable responses to numerous inquiries in a courteous, timely and professional manner
- Track and document all inquiries, appointments, kits, using CRM and applicable systems
- Meet Quality Assurance (QA) and other key performance metrics
- Escalate calls, emails, chat, scheduling or kit related iss...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:07
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:06
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:06
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:05
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:04
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:04
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:03
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:02
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:02
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:01
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:01
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-03-06 08:18:00
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:59
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:59
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:58
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:58
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:57
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:56
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:56
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:55
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:54
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:54
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
#techobs #veteranspage
EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
....Read more...
Type: Permanent Location: Columbia, US-SC
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:53
-
Essential Duties and Responsibilities:
- Oversee the design, development, and optimization of SQL Server queries, stored procedures, and triggers to ensure high performance and reliability across enterprise data systems.
- Lead the strategy, governance, and execution of ETL processes involving SQL databases, ensuring data accuracy, consistency, and timely delivery across operational workflows.
- Direct data integration efforts across multiple formats -including XML, JSON, and other structured sources- to support system interoperability and business intelligence requirements.
- Provide technical leadership on data transformation scripting using Python or comparable languages to automate workflows and enhance data quality.
- Leverage advanced Excel capabilities to guide complex data modeling, analysis, and reporting, ensuring stakeholders receive accurate and actionable insights.
- Ensure high system availability and data reliability by managing data operations in environments where uptime and performance are mission-critical.
- Set the vision for enterprise reporting and analytics, overseeing the development of dashboards and visualization solutions using tools such as Qlik, Power BI, and similar platforms.
- Typically manage a department or small sub-function for the organization OR a job function for a small to mid-sized business, which includes multiple teams led by managers and/or supervisors.
May also lead through influence of other teams/departments.
Typically responsible for creating workforce and staffing plans for department/unit to ensure availability of human capital necessary to accomplish departmental business results.
- Typically have hiring, firing, promotion and reward authority within own area, in accordance with guidelines.
Minimum Requirements
- Bachelor's degree in relevant field of study.
- 10+ years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years experience within Data Engineering.
- 5+ years of direct management experience.
- SQL Server: Building and Optimizing SQL Queries, Stored Procedures, and Triggers.
- ETL processes involving SQL databases.
- Experience working with data in a variety of formats including XML and JSON.
- Basic scripting skills using Python or other similar languages to transform data.
- Advanced skills in Excel.
- Experience working in an operational environment where system uptime is critical.
- Experience with reporting and visualization tools (Qlik, PowerBI, and others).
Preferred Skills and Responsibilities:
- Experience with Snowflake.
- Experience generating highly relevant synthetic data.
- Salesforce and Mulesoft experience.
- AI and data science skills.
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EEO Statement
Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristi...
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Type: Permanent Location: Pittsburgh, US-PA
Salary / Rate: Not Specified
Posted: 2026-03-06 08:17:52
