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Koch Industries

Private conglomerate in energy and materials

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USANo salary listed

About the Job

Requirements

  • Experience collaborating across teams, mentoring and motivating others while influencing alignment and strong practices.
  • Experience designing, implementing and maintaining large-scale extract, transform, and load (ETL) and data engineering solutions.
  • Hands-on experience building and operating data pipelines, including ingestion, transformation, orchestration and monitoring.
  • Experience in business intelligence (BI) and semantic layer development, reporting and visualization.
  • Experience in data warehousing and dimensional data modeling.
  • Must have legal authorization to work permanently in the United States without requiring visa transfer or sponsorship.

Responsibilities

  • Develop business intelligence and data warehousing solutions to meet business needs.
  • Maintain, monitor and troubleshoot existing ETL jobs and Power BI reports.
  • Troubleshoot, fix and explain failures or errors in data and ETL processes.
  • Adopt best practices in the implementation and execution of support processes.
  • Maintain and troubleshoot existing BI models to ensure continuous operation.
  • Collaborate with IT teams, including infrastructure support, networking, database administrators, delivery and platforms teams.
  • Participate in scheduled Agile ceremonies.

Desired Qualifications

  • Bachelor’s degree in computer science, engineering or a related field.
  • Experience in the manufacturing domain, particularly with Manufacturing Execution Systems (MES).
  • Experience with continuous integration and continuous delivery (CI/CD), Git and infrastructure as code (Terraform).
  • Experience with the Microsoft Business Intelligence (MSBI) stack: SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS) and/or Power BI.
  • Experience with AWS data engineering services such as S3, Glue, Lambda, Step Functions, Redshift and IAM.
  • Experience with AI and automation tools such as Cursor, Power Automate, Windsurf and GitHub Copilot.
  • Experience in dimensional data modeling, SQL and Python.

About the Company

Koch Industries

Private conglomerate in energy and materials

Koch Industries is a large, private, diversified conglomerate that operates in energy, chemical processing, and manufacturing. It started from an innovation that turned heavy crude oil into gasoline and grew through long‑term investments rather than short‑term market moves. The company generates value by refining fuels and producing chemical products, and it operates Georgia-Pacific, a major maker of paper and building products. Its business model relies on reinvesting most earnings back into the company to fund steady, long‑term growth rather than paying out frequent dividends or seeking quick profits. Koch differentiates itself from many competitors by staying privately owned, which reduces pressure from public markets and enables longer‑range planning. The company’s goal is to build scale and durability across its holdings by sustainable, multi‑decade growth rather than rapid, episodic gains.

Company size
5,001-10,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$985.2M
Headquarters
Wichita, KS
Founded
1940

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