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Your Job (NOT OPEN TO ANY PERSON WHO POSSESSES A VISA)
A Senior Data Engineer in Manufacturing BI is responsible for designing, building, and maintaining robust data pipelines, architecture, and systems that enable the collection, transformation, and analysis of manufacturing data.
The role requires a blend of technical expertise, domain knowledge, and leadership skills to ensure data availability, integrity, and usability for business intelligence applications.
Our Team
You'll join a dynamic Content Syndication team supporting our Brand, Marketing, and eCommerce divisions.
We work cross-functionally to ensure our product content is accurate, impactful, and a true competitive advantage for the business.
This role is hybrid and located in Atlanta, GA.
The expectation is 3 days in office per week.
What You Will Do
* Design, develop, and manage large-scale ETL pipelines using modern data engineering tools and cloud platforms
* Build and enhance data products, pipelines, and tools that support the full data lifecycle-from proof of concept and prototyping to production deployment
* Collaborate with cross-functional teams to gather requirements and translate them into scalable data solutions
* Review existing data architectures and solutions to identify opportunities for optimization and improvement
* Develop, enhance, and troubleshoot data pipelines to ensure reliability, performance, and scalability
* Leverage developer productivity tools where relevant to support advanced analytics use cases and improved developer efficiency
Who You Are (Basic Qualifications)
* Experience designing, implementing and maintaining large-scale ETL and data engineering solutions
* Hands-on experience building and operating data pipelines, including ingestion, transformation, orchestration and monitoring
* Experience with CI/CD, Git and Infrastructure as Code (Terraform)
* Experience in dimensional data modeling, SQL and Python
* Must have legal authorization to work permanently in the United States without requiring visa transfer or sponsorship
What Will Put You Ahead
* Bachelor's degree in computer science, engineering or a related field
* Experience in the manufacturing domain, particularly with MES (Manufacturing Execution Systems)
* Experience with industrial data platforms such as HighByte Intelligence Hub
* Experience with the MSBI stack: SSIS, SSAS, SSRS and/or PowerBi
* Experience with AWS data engineering services such as S3, Glue, Lamda, Step Functions, Redshift and IAM
* Experience with GenAI coding assistants such as Cursor and Github CoPilot
At Koch companies, we are entrepreneurs.
This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions.
Any compensation range provided for a role is an estimate determined by available market data.
The actual amount may be higher or lower than the range provi...
....Read more...
Type: Permanent Location: Atlanta, US-GA
Salary / Rate: Not Specified
Posted: 2026-04-14 07:40:50
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Your Job
Join the IT Data & Analytics: Packaging & Cellulose Delivery Team supporting the Corrugated business.
As a Tech Lead, you will design, build, optimize, and support enterprise-scale BI and analytics solutions across Microsoft BI platforms and cloud data ecosystems.
You will act as a technical lead, influence the analytics roadmap, and deliver high-quality, scalable solutions that enable data-driven decision making.
What You Will Do
* Provide technical leadership, mentor BI developers/data engineers, and partner with business stakeholders to translate requirements into solutions.
* Design and develop SSAS multidimensional and tabular semantic models (OLAP cubes, Tabular models).
* Create and optimize MDX and DAX expressions for complex analytics.
* Build and maintain enterprise semantic layers for consistent reporting.
* Apply dimensional modeling (star/snowflake), define grain, surrogate key strategies, and SCD approaches.
* Design, implement, and maintain ETL/ELT pipelines using SSIS and cloud-native ETL tools.
* Integrate data from enterprise apps, data lakes, external sources, and APIs while ensuring data quality and auditability.
* Design and optimize cloud data solutions (preferred AWS: S3, Redshift, Glue, Lambda, Step Functions, Athena, DynamoDB).
* Develop and optimize Power BI semantic models, datasets, and reports; apply RLS and performance best practices.
* Tune performance across SSAS, Power BI, and Redshift (partitioning, indexing, aggregations, refresh strategies).
Who You Are (Basic Qualifications)
* Proven experience designing and delivering enterprise BI/analytics solutions.
* Handson experience with Microsoft BI stack: SSIS, SSAS (multidimensional and/or tabular), and Power BI.
* Advanced TSQL skills and experience optimizing queries.
* Strong understanding of data warehouse design, dimensional modeling, and star schemas.
* Experience building ETL pipelines with SSIS and/or cloud ETL tools.
* Working knowledge of cloud data platforms, preferably AWS (S3, Redshift, Glue, Lambda, Athena).
* Experience with data lakes, enterprise data stores, and external data source integration.
* Strong analytical thinking and independent problem-solving skills.
What Will Put You Ahead
* Prior technical lead experience for BI or data platform initiatives.
* Deep hands-on experience with AWS orchestration and automation (Glue, Step Functions, Lambda, DynamoDB, Redshift).
* Experience integrating on-premises and cloud data platforms.
* Familiarity with CI/CD, version control, and automated deployments for BI solutions.
* Domain exposure to manufacturing, supply chain, packaging, or logistics analytics.
At Koch companies, we are entrepreneurs.
This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions.
Any compensation range provided for a role is an esti...
....Read more...
Type: Permanent Location: Atlanta, US-GA
Salary / Rate: Not Specified
Posted: 2026-04-13 07:22:13
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Your Job
A Data & Analytics Leader is responsible for establishing and scaling a cohesive, enterprise-grade analytics capability that enables KES business units to make better, faster, and more consistent decisions.
With "Data as the foundation" strategy, this role focuses on business analytics strategy, business intelligence architecture, analytics enablement, and AI readiness, ensuring that data is structured, governed, and understandable enough to support both human-driven analytics and AI-assisted insights.
You must show a proven ability to manage complex requirements while understanding the appropriate risk profile of a project to determine the correct solution.
Daily challenges will arise that require more soft skill expertise than technical expertise - meaning, you cannot rely on technical aptitude alone to be successful.
You must realize and show the ability to understand the business direction, objectives, and parties involved to get to the best outcome.
A candidate who is a self-starter and looks to be proactive will be a great fit for this opportunity.
What You Will Do
• Partner with Solution Delivery & Product teams, and Data team peers to recommend and build data products, then lead the technical solutioning process to establish data transformation, semantic layering, and readiness for presentation layer to reach business outcomes.
• Leverage expertise in multiple technical domains as part of solutioning process (Software Engineering, Application Review/Selection, Security, Networking, Cloud Infrastructure, etc.)
• Experimentation - Identify and experiment with solutions to solve problems new to the organization
• Drive data governance practices and frameworks.
Who You Are (Basic Qualifications)
• Experience leading data engineers, analytics engineers, data architects, or BI developers in their work.
• Experience with data stores (Snowflake, Redshift, PostgreSQL, NoSQL)
• Experience with modern cloud-based platforms and tools (AWS, Microsoft, Salesforce, SaaS vendors)
• Experience with data modeling, ETL/ELT patterns, schema management.
• Familiarity with event-driven architectures, microservices, analytical concepts, AI concepts, cloud technology & services
• Proven experience communicating technology in both execution detail and broad concepts to various audiences
• Demonstrated capability partnering with customers to understand business and operating models to develop data pipeline proposals.
What Will Put You Ahead
• Experience in creating data products & pipeline in discreate engineering & manufacturing
• Track record of leading a successful cloud migration or modernization of legacy data/analytics platforms at scale.
• Hands-on implementation of data mesh or federated data product architectures.
• Experience implementing/leveraging Master Data Management platforms
• Experience with Dataiku, dbt, MS Fabric, graph database technology
• Experience with operational technolog...
....Read more...
Type: Permanent Location: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-04-04 07:28:23
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Your Job
A Data & Analytics Leader is responsible for establishing and scaling a cohesive, enterprise-grade analytics capability that enables KES business units to make better, faster, and more consistent decisions.
With "Data as the foundation" strategy, this role focuses on business analytics strategy, business intelligence architecture, analytics enablement, and AI readiness, ensuring that data is structured, governed, and understandable enough to support both human-driven analytics and AI-assisted insights.
You must show a proven ability to manage complex requirements while understanding the appropriate risk profile of a project to determine the correct solution.
Daily challenges will arise that require more soft skill expertise than technical expertise - meaning, you cannot rely on technical aptitude alone to be successful.
You must realize and show the ability to understand the business direction, objectives, and parties involved to get to the best outcome.
A candidate who is a self-starter and looks to be proactive will be a great fit for this opportunity.
What You Will Do
• Partner with Solution Delivery & Product teams, and Data team peers to recommend and build data products, then lead the technical solutioning process to establish data transformation, semantic layering, and readiness for presentation layer to reach business outcomes.
• Leverage expertise in multiple technical domains as part of solutioning process (Software Engineering, Application Review/Selection, Security, Networking, Cloud Infrastructure, etc.)
• Experimentation - Identify and experiment with solutions to solve problems new to the organization
• Drive data governance practices and frameworks.
Who You Are (Basic Qualifications)
• Experience leading data engineers, analytics engineers, data architects, or BI developers in their work.
• Experience with data stores (Snowflake, Redshift, PostgreSQL, NoSQL)
• Experience with modern cloud-based platforms and tools (AWS, Microsoft, Salesforce, SaaS vendors)
• Experience with data modeling, ETL/ELT patterns, schema management.
• Familiarity with event-driven architectures, microservices, analytical concepts, AI concepts, cloud technology & services
• Proven experience communicating technology in both execution detail and broad concepts to various audiences
• Demonstrated capability partnering with customers to understand business and operating models to develop data pipeline proposals.
What Will Put You Ahead
• Experience in creating data products & pipeline in discreate engineering & manufacturing
• Track record of leading a successful cloud migration or modernization of legacy data/analytics platforms at scale.
• Hands-on implementation of data mesh or federated data product architectures.
• Experience implementing/leveraging Master Data Management platforms
• Experience with Dataiku, dbt, MS Fabric, graph database technology
• Experience with operational technolog...
....Read more...
Type: Permanent Location: Tulsa, US-OK
Salary / Rate: Not Specified
Posted: 2026-04-04 07:28:22
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Your Job
A Data & Analytics Leader is responsible for establishing and scaling a cohesive, enterprise-grade analytics capability that enables KES business units to make better, faster, and more consistent decisions.
With "Data as the foundation" strategy, this role focuses on business analytics strategy, business intelligence architecture, analytics enablement, and AI readiness, ensuring that data is structured, governed, and understandable enough to support both human-driven analytics and AI-assisted insights.
You must show a proven ability to manage complex requirements while understanding the appropriate risk profile of a project to determine the correct solution.
Daily challenges will arise that require more soft skill expertise than technical expertise - meaning, you cannot rely on technical aptitude alone to be successful.
You must realize and show the ability to understand the business direction, objectives, and parties involved to get to the best outcome.
A candidate who is a self-starter and looks to be proactive will be a great fit for this opportunity.
What You Will Do
• Partner with Solution Delivery & Product teams, and Data team peers to recommend and build data products, then lead the technical solutioning process to establish data transformation, semantic layering, and readiness for presentation layer to reach business outcomes.
• Leverage expertise in multiple technical domains as part of solutioning process (Software Engineering, Application Review/Selection, Security, Networking, Cloud Infrastructure, etc.)
• Experimentation - Identify and experiment with solutions to solve problems new to the organization
• Drive data governance practices and frameworks.
Who You Are (Basic Qualifications)
• Experience leading data engineers, analytics engineers, data architects, or BI developers in their work.
• Experience with data stores (Snowflake, Redshift, PostgreSQL, NoSQL)
• Experience with modern cloud-based platforms and tools (AWS, Microsoft, Salesforce, SaaS vendors)
• Experience with data modeling, ETL/ELT patterns, schema management.
• Familiarity with event-driven architectures, microservices, analytical concepts, AI concepts, cloud technology & services
• Proven experience communicating technology in both execution detail and broad concepts to various audiences
• Demonstrated capability partnering with customers to understand business and operating models to develop data pipeline proposals.
What Will Put You Ahead
• Experience in creating data products & pipeline in discreate engineering & manufacturing
• Track record of leading a successful cloud migration or modernization of legacy data/analytics platforms at scale.
• Hands-on implementation of data mesh or federated data product architectures.
• Experience implementing/leveraging Master Data Management platforms
• Experience with Dataiku, dbt, MS Fabric, graph database technology
• Experience with operational technolog...
....Read more...
Type: Permanent Location: Wichita, US-KS
Salary / Rate: Not Specified
Posted: 2026-04-04 07:28:21
