> Markdown version of [/jobs/ext/4523357-remote-data-quality-engineer](https://www.wearedevelopers.com/jobs/ext/4523357-remote-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). --- # REMOTE Data Quality Engineer - **Company:** Insight Global - **Location:** Cincinnati, OH, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Automation of Tests, Databases, Continuous Integration, Data Validation, Extract Transform Load (ETL), Data Security, Data Systems, Database Testing, Software Design Documents, Digital Assets, Python (Programming Language), NoSQL, Systems Development Life Cycle, Software Tools, Standard Sql, Selenium, SQL Databases, Software Testing Automation Framework, Cloud Platform System, Data Strategy, Core Data, Puppet, Ansible Tower, Data Pipelines, Jenkins - **Published:** November 2, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3487402394&tx=IT8578TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 3-5+ years' experience in Data Quality/Data Validation, Database testing and ETL/data pipeline testing (including automated testing and root-cause analysis of data issues) * Strong experience with SQL for querying tables and investigating whether data is correct * 2+ years' experience with automation production systems (Ansible Tower, Jenkins, Puppet, or Selenium) * SDLC knowledge including how testing fits into development, releases, defects and CI/CD * Python * MarTech background ## Description An employer is looking for a Data Quality Engineer for a remote, contract opportunity. The client is a large retailer, and the Data Quality Engineer should have strong SQL and database experience who can design, develop, and automate data-quality controls across enterprise datasets and pipelines. This individual will validate data accuracy, completeness, consistency, and reliability; identify and troubleshoot data-quality issues; and build automated validation/testing processes using tools such as Jenkins, Selenium, Python, or similar technologies., * Design, develop, and implement integrations based on use feedback. * Troubleshoot production issues and coordinate with the development team to streamline code deployment. * Implement automation tools and frameworks (Ci/CD pipelines). * Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of products. * Collaborate with team members to improve the company's engineering tools, systems and procedures, and data security. * Deliver quality customer service and resolve end-user issues in a timely manner * Draft architectural diagrams, interface specifications and other design documents * Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy * Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio * Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses * Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms * Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes * Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement * Mentor team members in data principles, patterns, processes and practices * Promote the reuse of data assets, including the management of the data catalog for reference * Draft and review architectural diagrams, interface specifications and other design documents