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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Quality Engineer - **Company:** Koch, Inc. - **Location:** Lake Angelus, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Automation of Tests, Big Data, Code Review, Collaborative Software, Information Systems, Continuous Integration, Information Engineering, Data Governance, DevOps, Github, Python (Programming Language), Meta-Data Management, Systems Development Life Cycle, Reliability Engineering, Power BI, Cloud Services, Software Engineering, SQL Databases, Enterprise Data Management, Data Logging, Snowflake, Gitlab, Information Technology, Collibra, Tools for Reporting, Software Version Control - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-quality-engineer-auburn-hills-mi--8188a520-2cf0-41f0-a2e1-91f966138176 ## About the Role Data Quality, Quality Engineering, English Language, Facebook, LinkedIn, Data Quality, Quality Engineering, Scalable System Development, Reliability Engineering, Software Engineering, * Bachelor''s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field, or equivalent practical experience. * 5+ years of experience in Data Quality, Data Engineering, Business Intelligence, Analytics Engineering, or a related data-focused role. * Experience using SQL, Python, and Power BI to develop data, automation, or reporting solutions. What Will Put You Ahead * Experience with Data Quality, Data Governance, or Data Catalog platforms such as Ataccama, Collibra, Informatica, or Alation. * Experience contributing to Data Products, metadata management, or enterprise data catalog initiatives. * Experience with cloud data platforms such as Snowflake and modern software engineering practices, including continuous integration and delivery and automated testing. * Experience supporting enterprise resource planning implementations, data migrations, or large-scale data transformation programs. This role is not eligible for sponsorship. 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, As a Data Quality Engineer, you will build scalable controls, reporting, and technical solutions that improve the reliability of enterprise data. You will collaborate with business and technology teams to turn data challenges into measurable solutions that support trusted decisions and Data Products. Our Team You will join a global Data Quality team that improves the reliability, consistency, and transparency of enterprise data. The team combines expertise in Data Quality, Data Governance, Data Products, and Software Engineering to support enterprise data initiatives. What You Will Do * Develop and maintain data quality controls that improve the accuracy, consistency and reliability of critical business data. * Partner with business and technical stakeholders to translate data requirements into measurable and scalable solutions. * Contribute to the definition and continuous improvement of Data Products and governed data assets. * Design and maintain Power BI reporting solutions that provide visibility into data quality performance and business impact. * Develop technical solutions and automation using SQL, Python and modern data tooling. * Contribute to internal Data Quality and Data Catalog applications and related technical platforms. * Work within GitLab and GitHub repositories using collaborative software development practices, including code reviews and version control. * Support the adoption of modern engineering practices, including testing, CI/CD and technical documentation. * Help identify opportunities to simplify processes, improve data trustworthiness and increase operational efficiency., * 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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