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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Koch, Inc. - **Location:** Wichita, KS, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Business Logic, ARM Architecture, Automation of Tests, BigQuery, Software Quality, Code Review, Information Systems, Continuous Integration, Information Engineering, Data Integration, Data Integrity, Data Structures, Data Warehousing, Python (Programming Language), Modular Design, Power BI, Software Tools, Cloud Services, Standard Sql, Software Engineering, Data Logging, Large Language Models, Claude Code, Snowflake, Git, Information Technology, Entity Resolution, Software Version Control, Data Pipelines, Amazon Redshift, Databricks - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-wichita-ks--f2e7b85b-60f0-4845-ae39-2e0cc6159749 ## About the Role English Language, Facebook, LinkedIn, Artificial Intelligence (AI), Product Support, Information Technology & Information Systems, Continuous Improvement, Communication Skills, Finance, Startup, * Hands-on experience building data pipelines in a cloud data warehouse environment. * SQL skills and experience with cloud data platforms such as Snowflake, Redshift, BigQuery, or Databricks. * Experience using dbt or a comparable transformation framework that supports version control, testing, and modular design. * Working knowledge of cloud services and modern software engineering practices, including Git and CI/CD. * Experience applying dimensional data modeling and translating business processes into scalable data structures. * Experience partnering directly with business stakeholders to define requirements, validate business logic, and ensure data accuracy. What Will Put You Ahead * 3+ years of experience building data pipelines in a cloud data warehouse environment. * Experience using AI-assisted development tools to improve engineering productivity and solution quality. * Experience integrating data across multiple ERPs or source systems, including entity resolution and reconciliation. * Python experience supporting data engineering automation, orchestration, or data applications. * Experience designing data products for analytics, AI/ML, or LLM consumption. * Experience with Power BI data modeling, semantic layer design, or business-facing analytics solutions. 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. ## Description * Employee Login * Home * Search Jobs * Life at Koch * Companies * Career Opportunities * How We Hire * Early Careers * Recruiting Events * Candidate Portal * Join our Talent Community * Employee Login * Learn More About Koch * Latest Koch News * English - US * Deutsch * English - US * Español - ES * Français - France * Polski, * Own the delivery and ongoing success of data products, ensuring they solve the intended business problem and remain reliable, usable, and maintainable in production. * Build and maintain ELT pipelines across staging, intermediate, and mart layers using modular engineering practices, automated testing, and production-ready deployment processes. * Engage directly with business stakeholders, including cost accountants, project managers, and analysts, to understand their processes, validate business logic, and ensure data models accurately represent real-world operations. * Integrate data from diverse and sometimes complex source systems, including multiple ERPs, APIs, file-based feeds, and cloud services, making deliberate decisions about entity resolution and cross-system reconciliation. * Structure data products to be AI-ready through semantic clarity, consistent naming, documented lineage, and quality sufficient for both human analysts and AI/LLM consumption. * Apply AI-assisted engineering tools, such as Claude Code and Snowflake Cortex, to accelerate delivery, improve code quality, and identify opportunities to embed AI capabilities into data products. * Establish risk-based data quality controls that validate critical business rules, detect upstream issues early, and prevent unreliable data from reaching consumers. * Contribute to platform reliability by incorporating monitoring, alerting, automation, and operational support into delivered solutions. * Participate in legacy platform migration, transitioning workloads to the modern data stack while preserving data integrity and business continuity. * Strengthen team capability through code reviews, pairing, documentation, and reusable engineering patterns that improve consistency and reduce key-person dependencies., * Strictly Necessary Cookies Strictly Necessary Cookies Always Active Strictly Necessary Cookies These cookies are necessary for the website to function and cannot be switched off in our systems. 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