Senior Data Engineer

Position

Senior Data Engineer at Koch

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

This role is not eligible for VISA sponsorship.

The DMET (Data Management, Enablement and Transformation) team focuses on developing a long‑term sustainable capability utilizing data and technology to transform tax and finance. It includes multiple teams focused on data platform technologies, specific data products and transformation with an emphasis on data security, empowering finance and tax organizations.

• 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.
• 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 orchestration or pipeline tools such as Apache Airflow or Prefect.
• Experience with distributed events and stream‑processing, such as Kafka.
• Experience with observability tools such as Grafana or Datadog.
• Understanding of data governance, security protocols, and compliance.
• Knowledge or hands‑on experience with AI/ML concepts, frameworks, or model deployment.

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E‑Verify.