-
Essential Duties and Responsibilities:
- Reach out to providers to obtain availability to travel.
- Coordinate with scheduling team when needed to plan and arrange provider traveling plans.
- Oversee the schedules of traveling providers to ensure utilization.
- Reach out to per diem, prison facilities, or recruit Mobile Unit spaces to obtain and confirm appointment availability.
- Maintain communication with Provider Group Networks to ensure accurate billing, payment, and scheduling.
- Responsible for coordinating logistics associated with Veterans Claims Clinics and scheduling.
- Coordinate the delivery and training of equipment for specialty providers.
- Establish and maintain effective communication between the team and Regional Management.
- Coordinate travel and negotiate pay rates to schedule providers in areas of need, prison facilities, or at a Veteran's home location.
- Notify providers in a timely manner in the event of cancelled appointment or block times and dates.
- Seek VA approval for proposed Incarcerated Veteran and Home Visit requests prior to completing scheduling process.
- Assist with requests from Management, Regional Supervisors, and Travel Coordinator Supervisor.
- Promptly address emails and any voicemails on a daily basis.
Please note upon hire, Veterans Evaluation Services (VES), a Maximus Co.
will provide all necessary computer equipment that is to be utilized to fulfill the duties of your role.
New Hires will not be exempt from using company provided equipment.
Home Office Requirements using Maximus provided equipment:
- Internet speed of 20 mbps or higher required (you can test this by going to www.speedtest.net)
- Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router
- Private work area and adequate power source
- Must currently and permanently reside in the Continental United States
- In accordance with SCA contract requirements, remote work must be conducted from the location specified at the time of hire.
Travel is NOT permitted, and you are required to remain at your designated home location for all work activities.
Minimum Requirements
- High School diploma or GED required.
- 0-2 years experiences preferred
- Travel agency experience is preferred
- Customer Service experience is highly preferred
- Experience with Microsoft Office Suite is preferred
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 characteristics.
Pay Transparency
For positions on this contract, Maximus will pay the prevailing wage rate for the location in which the employee is working, as determined by the Department of Labor.
That wage rate will vary depending on locality.
An applicant's salary history will not be used in determining compensation.
Accommodations
Maximus provides reasonable ac...
....Read more...
Type: Permanent Location: Tucson, US-AZ
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:35
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:32
-
Essential Duties and Responsibilities:
- Reach out to providers to obtain availability to travel.
- Coordinate with scheduling team when needed to plan and arrange provider traveling plans.
- Oversee the schedules of traveling providers to ensure utilization.
- Reach out to per diem, prison facilities, or recruit Mobile Unit spaces to obtain and confirm appointment availability.
- Maintain communication with Provider Group Networks to ensure accurate billing, payment, and scheduling.
- Responsible for coordinating logistics associated with Veterans Claims Clinics and scheduling.
- Coordinate the delivery and training of equipment for specialty providers.
- Establish and maintain effective communication between the team and Regional Management.
- Coordinate travel and negotiate pay rates to schedule providers in areas of need, prison facilities, or at a Veteran's home location.
- Notify providers in a timely manner in the event of cancelled appointment or block times and dates.
- Seek VA approval for proposed Incarcerated Veteran and Home Visit requests prior to completing scheduling process.
- Assist with requests from Management, Regional Supervisors, and Travel Coordinator Supervisor.
- Promptly address emails and any voicemails on a daily basis.
Please note upon hire, Veterans Evaluation Services (VES), a Maximus Co.
will provide all necessary computer equipment that is to be utilized to fulfill the duties of your role.
New Hires will not be exempt from using company provided equipment.
Home Office Requirements using Maximus provided equipment:
- Internet speed of 20 mbps or higher required (you can test this by going to www.speedtest.net)
- Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router
- Private work area and adequate power source
- Must currently and permanently reside in the Continental United States
- In accordance with SCA contract requirements, remote work must be conducted from the location specified at the time of hire.
Travel is NOT permitted, and you are required to remain at your designated home location for all work activities.
Minimum Requirements
- High School diploma or GED required.
- 0-2 years experiences preferred
- Travel agency experience is preferred
- Customer Service experience is highly preferred
- Experience with Microsoft Office Suite is preferred
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 characteristics.
Pay Transparency
For positions on this contract, Maximus will pay the prevailing wage rate for the location in which the employee is working, as determined by the Department of Labor.
That wage rate will vary depending on locality.
An applicant's salary history will not be used in determining compensation.
Accommodations
Maximus provides reasonable ac...
....Read more...
Type: Permanent Location: Birmingham, US-AL
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:29
-
Essential Duties and Responsibilities:
- Reach out to providers to obtain availability to travel.
- Coordinate with scheduling team when needed to plan and arrange provider traveling plans.
- Oversee the schedules of traveling providers to ensure utilization.
- Reach out to per diem, prison facilities, or recruit Mobile Unit spaces to obtain and confirm appointment availability.
- Maintain communication with Provider Group Networks to ensure accurate billing, payment, and scheduling.
- Responsible for coordinating logistics associated with Veterans Claims Clinics and scheduling.
- Coordinate the delivery and training of equipment for specialty providers.
- Establish and maintain effective communication between the team and Regional Management.
- Coordinate travel and negotiate pay rates to schedule providers in areas of need, prison facilities, or at a Veteran's home location.
- Notify providers in a timely manner in the event of cancelled appointment or block times and dates.
- Seek VA approval for proposed Incarcerated Veteran and Home Visit requests prior to completing scheduling process.
- Assist with requests from Management, Regional Supervisors, and Travel Coordinator Supervisor.
- Promptly address emails and any voicemails on a daily basis.
Please note upon hire, Veterans Evaluation Services (VES), a Maximus Co.
will provide all necessary computer equipment that is to be utilized to fulfill the duties of your role.
New Hires will not be exempt from using company provided equipment.
Home Office Requirements using Maximus provided equipment:
- Internet speed of 20 mbps or higher required (you can test this by going to www.speedtest.net)
- Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router
- Private work area and adequate power source
- Must currently and permanently reside in the Continental United States
- In accordance with SCA contract requirements, remote work must be conducted from the location specified at the time of hire.
Travel is NOT permitted, and you are required to remain at your designated home location for all work activities.
Minimum Requirements
- High School diploma or GED required.
- 0-2 years experiences preferred
- Travel agency experience is preferred
- Customer Service experience is highly preferred
- Experience with Microsoft Office Suite is preferred
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 characteristics.
Pay Transparency
For positions on this contract, Maximus will pay the prevailing wage rate for the location in which the employee is working, as determined by the Department of Labor.
That wage rate will vary depending on locality.
An applicant's salary history will not be used in determining compensation.
Accommodations
Maximus provides reasonable ac...
....Read more...
Type: Permanent Location: Phoenix, US-AZ
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:28
-
Essential Duties and Responsibilities:
- Reach out to providers to obtain availability to travel.
- Coordinate with scheduling team when needed to plan and arrange provider traveling plans.
- Oversee the schedules of traveling providers to ensure utilization.
- Reach out to per diem, prison facilities, or recruit Mobile Unit spaces to obtain and confirm appointment availability.
- Maintain communication with Provider Group Networks to ensure accurate billing, payment, and scheduling.
- Responsible for coordinating logistics associated with Veterans Claims Clinics and scheduling.
- Coordinate the delivery and training of equipment for specialty providers.
- Establish and maintain effective communication between the team and Regional Management.
- Coordinate travel and negotiate pay rates to schedule providers in areas of need, prison facilities, or at a Veteran's home location.
- Notify providers in a timely manner in the event of cancelled appointment or block times and dates.
- Seek VA approval for proposed Incarcerated Veteran and Home Visit requests prior to completing scheduling process.
- Assist with requests from Management, Regional Supervisors, and Travel Coordinator Supervisor.
- Promptly address emails and any voicemails on a daily basis.
Please note upon hire, Veterans Evaluation Services (VES), a Maximus Co.
will provide all necessary computer equipment that is to be utilized to fulfill the duties of your role.
New Hires will not be exempt from using company provided equipment.
Home Office Requirements using Maximus provided equipment:
- Internet speed of 20 mbps or higher required (you can test this by going to www.speedtest.net)
- Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router
- Private work area and adequate power source
- Must currently and permanently reside in the Continental United States
- In accordance with SCA contract requirements, remote work must be conducted from the location specified at the time of hire.
Travel is NOT permitted, and you are required to remain at your designated home location for all work activities.
Minimum Requirements
- High School diploma or GED required.
- 0-2 years experiences preferred
- Travel agency experience is preferred
- Customer Service experience is highly preferred
- Experience with Microsoft Office Suite is preferred
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 characteristics.
Pay Transparency
For positions on this contract, Maximus will pay the prevailing wage rate for the location in which the employee is working, as determined by the Department of Labor.
That wage rate will vary depending on locality.
An applicant's salary history will not be used in determining compensation.
Accommodations
Maximus provides reasonable ac...
....Read more...
Type: Permanent Location: Montgomery, US-AL
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:28
-
Essential Duties and Responsibilities:
- Reach out to providers to obtain availability to travel.
- Coordinate with scheduling team when needed to plan and arrange provider traveling plans.
- Oversee the schedules of traveling providers to ensure utilization.
- Reach out to per diem, prison facilities, or recruit Mobile Unit spaces to obtain and confirm appointment availability.
- Maintain communication with Provider Group Networks to ensure accurate billing, payment, and scheduling.
- Responsible for coordinating logistics associated with Veterans Claims Clinics and scheduling.
- Coordinate the delivery and training of equipment for specialty providers.
- Establish and maintain effective communication between the team and Regional Management.
- Coordinate travel and negotiate pay rates to schedule providers in areas of need, prison facilities, or at a Veteran's home location.
- Notify providers in a timely manner in the event of cancelled appointment or block times and dates.
- Seek VA approval for proposed Incarcerated Veteran and Home Visit requests prior to completing scheduling process.
- Assist with requests from Management, Regional Supervisors, and Travel Coordinator Supervisor.
- Promptly address emails and any voicemails on a daily basis.
Please note upon hire, Veterans Evaluation Services (VES), a Maximus Co.
will provide all necessary computer equipment that is to be utilized to fulfill the duties of your role.
New Hires will not be exempt from using company provided equipment.
Home Office Requirements using Maximus provided equipment:
- Internet speed of 20 mbps or higher required (you can test this by going to www.speedtest.net)
- Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router
- Private work area and adequate power source
- Must currently and permanently reside in the Continental United States
- In accordance with SCA contract requirements, remote work must be conducted from the location specified at the time of hire.
Travel is NOT permitted, and you are required to remain at your designated home location for all work activities.
Minimum Requirements
- High School diploma or GED required.
- 0-2 years experiences preferred
- Travel agency experience is preferred
- Customer Service experience is highly preferred
- Experience with Microsoft Office Suite is preferred
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 characteristics.
Pay Transparency
For positions on this contract, Maximus will pay the prevailing wage rate for the location in which the employee is working, as determined by the Department of Labor.
That wage rate will vary depending on locality.
An applicant's salary history will not be used in determining compensation.
Accommodations
Maximus provides reasonable ac...
....Read more...
Type: Permanent Location: Mobile, US-AL
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:25
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:22
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Eau Claire, US-WI
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:22
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:21
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:20
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:17
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Milwaukee, US-WI
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:15
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:11
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:09
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:08
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:07
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:05
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:02
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:01
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-07-15 10:40:01
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-07-15 10:39:58
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-07-15 10:39:55
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-07-15 10:39:52
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-07-15 10:39:49
-
Key Responsibilities:
• Own and improve the reliability, availability, observability, and operational supportability of Maximus UK's Azure Databricks platform, Azure data services, and associated data pipelines and data products.
• Design and implement monitoring, alerting, health checks, and diagnostics across Azure Databricks, Azure data services, orchestration layers, storage, and downstream consumption, extending these patterns into AWS as the estate grows.
• Define and maintain reliability standards, controls, operational runbooks, and support models that improve the resilience, predictability, and supportability of data services.
• Work closely with data engineering teams to identify, prioritise, and remediate reliability, performance, and data quality issues across Databricks notebooks, jobs, workflows, and other Azure data workloads.
• Establish proactive incident detection, triage, and root cause analysis practices, reducing mean time to detect and mean time to recover for data-related issues.
• Design and implement robust data quality controls, validation frameworks, reconciliation processes, and anomaly detection approaches across the end-to-end data lifecycle.
• Configure and use Azure Purview to provide effective data cataloguing, lineage, ownership, and governance, ensuring reliability and quality controls are visible and auditable.
• Collaborate with platform, cloud, architecture, and security teams to ensure the data estate is secure, resilient, cost-effective, and aligned to enterprise standards and patterns.
• Contribute to the reliability engineering approach for an Azure-first data platform while supporting reusable patterns and operational readiness for data services in AWS.
• Partner with architects and engineers so that new pipelines, data products, and platform services are designed with operability, recoverability, scalability, and observability built in from the start.
• Automate repetitive operational tasks, environment checks, dependency verification, failure handling, and recovery processes to increase efficiency and reduce manual intervention and risk.
• Capture lessons learned, codify reliability patterns and standards, and share best practice to continuously improve reliability, transparency, and engineering discipline across the data function.
Essential Skills - What You'll Bring
• Proven experience in data engineering, platform engineering, site reliability engineering, DataOps, or a closely related role focused on data platform reliability and operations.
• Strong hands-on experience with Azure-based data platforms, particularly Azure Databricks and core Azure data services such as Data Lake Storage, Data Factory/Synapse, and analytical stores, with familiarity of equivalent services in AWS.
• Strong understanding of modern data platform architectures, including data lakes, warehouses or lakehouses, orchestration frameworks, transformation pipelines, streaming ser...
....Read more...
Type: Permanent Location: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2026-07-15 10:39:47
