Senior Data Engineer

Your Job

The Data Engineer will play a critical role in transforming the way we design, develop, and implement robust data pipelines to enable seamless data flow and support various initiatives at Koch Industries. This role requires hands‑on expertise in SQL and Python coding and acts as a Subject Matter Expert (SME) in data engineering, helping position us for scalability and future industry advancements.

The Data Engineer will partner closely with solution and data architects on design and implementation, collaborating with various capability teams to drive effective and scalable data solutions.

The DMET (Data Management, Enablement and Transformation) team is focused on developing a long‑term sustainable capability utilizing data and technology to transform tax and finance. This includes a diverse group with multiple teams focused on data platform technologies, specific data products and transformation with an emphasis on data security. Our strategy will empower the finance and tax organizations to create superior value while consuming few resources, unlocking analytical capabilities, mitigating risk, and meeting ever changing regulatory requirements.

This role can be located in Wichita, KS / Plano, TX / Atlanta, GA and requires an onsite presence 5 days/week.

• Write efficient, maintainable SQL and Python code to create, implement, and optimize data pipelines ensuring high data quality and flow across systems.
• Collaborate closely with architecture teams to design and implement scalable data solutions aligned with enterprise architecture standards.
• Apply a thorough understanding of the full Software Development Life Cycle (SDLC) and AI Development Life Cycle (AIDLC) frameworks, including requirements gathering, development, testing, deployment, and maintenance phases.
• Work within Agile frameworks to deliver incremental value, participate in sprint planning, stand‑ups, retrospectives, and continuous improvement activities.
• Serve as a trusted Subject Matter Expert (SME) for data engineering, providing guidance and domain knowledge when interacting with cross‑functional teams from various business and technical capabilities.
• Support data governance, data quality initiatives, and ensure compliance with security and privacy policies.
• Document data architecture designs, pipeline workflows, and best practices to promote knowledge sharing and operational excellence.

• Proven experience coding in SQL and Python for building and maintaining data pipelines.
• Hands‑on experience collaborating with architecture teams to implement data solutions.
• Strong understanding of the full SDLC and practical experience working in Agile development environments.
• Excellent communication skills, with the ability to clearly articulate technical concepts to non‑technical stakeholders and act as an SME across teams.

• Familiarity with dbt (Data Build Tool) for data transformation and modeling.
• Strong experience working with Snowflake data warehouse and cloud infrastructure in AWS.
• Proficiency with Git Hub or similar version control tools for collaborative development.
• Prior exposure to other orchestration or pipeline tools, such as Apache Airflow or Prefect
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• Experience with distributed events and stream‑processing, such as Kafka
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• Experience with observability tools, such as Grafana or Datadog
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• Understanding of data governance, security protocols, and compliance.
• Knowledge or hands‑on experience with AI/ML concepts, frameworks, or model deployment.

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 provided considering each candidate's knowledge, skills, abilities, and geographic location.

If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

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