> Markdown version of [/jobs/ext/4635197-data-quality-engineer](https://www.wearedevelopers.com/jobs/ext/4635197-data-quality-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Quality Engineer - **Company:** Hydrogen Group - **Location:** United, WV, United States (Remote available) - **Experience:** Expert - **Salary:** $93,600 - $104,000 - **Contract:** Temporary contract - **Skills:** Data Analysis, Big Data, Profiling, Information Systems, Databases, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, Database Development, Enterprise Data Management, Sql Optimization, Information Technology, Data Analytics - **Published:** November 8, 2026 - **Apply:** https://www.thejobnetwork.com/job/b8708098-f088-4427-9b0b-864157f2ddf1/data-quality-engineer ## About the Role * 5+ years of experience in data quality engineering, SQL development, data analysis, data engineering, or a related field. \n * Advanced SQL development experience within enterprise database environments. \n * Hands-on experience with data validation, reconciliation, profiling, and troubleshooting. \n * Experience working with relational databases, data warehouses, and ETL/ELT processes. \n * Demonstrated ability to identify and resolve complex data quality issues across multiple systems. \n * Strong analytical, problem-solving, and technical documentation skills. \n * Ability to collaborate with technical and business stakeholders and translate requirements into executable data validation rules. \n * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field preferred. Equivalent professional experience may be considered. ## Description This role requires advanced SQL expertise to analyze complex datasets, build validation queries, identify discrepancies, and troubleshoot data quality issues across enterprise data platforms. The Data Quality Engineer will work closely with data engineers, data modelers, architects, and business stakeholders to establish data quality standards, validate data transformations, and support reporting, analytics, and data modernization initiatives.