> Markdown version of [/jobs/ext/4333875-data-quality-specialist-remote](https://www.wearedevelopers.com/jobs/ext/4333875-data-quality-specialist-remote). 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 Specialist - Remote - **Company:** The Hangout - **Location:** Chicago, IL, United States (Remote available) - **Salary:** $58,240.0 - $66,560.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Analysis, Data Validation, Data Cleansing, Data Governance, Data Integrity, Data Profiling, SQL Databases, Information Technology, Data Management - **Published:** October 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d7db2e3ea10adfa1 ## About the Role Bachelor's degree in Information Technology, Data Science, Business Administration, or a related field. Proven experience in data quality management, data analysis, or a similar role. Strong understanding of data governance, data validation, and data cleansing techniques. Familiarity with data management tools and software (e.g., SQL, Excel, data profiling tools). Excellent analytical and problem-solving skills with strong attention to detail. Effective communication skills to collaborate with technical and non-technical stakeholders. Ability to work independently in a remote environment while managing multiple priorities. ## Description This position offers the flexibility to work remotely while collaborating closely with cross-functional teams to identify data issues, implement corrective actions, and continuously improve data processes., Conduct regular data audits to assess accuracy, completeness, and consistency across systems. Monitor data quality metrics and generate reports to highlight trends and areas for improvement. Work with data owners and IT teams to resolve data quality issues promptly. Develop and maintain documentation related to data quality standards, policies, and procedures. Support data cleansing and validation activities to ensure data integrity. Assist in the design and implementation of data quality tools and automation processes. Provide training and guidance to team members on data quality best practices. Stay up to date with industry trends and emerging technologies related to data quality management.