Data Quality Analyst

Role: Data Quality Analyst Location: Remote Duration: Through March 31, 2027 (hard end date), with a target start within the next month. Interview Process: 1 technical interview with the team to hire Description: QA/Data Engineer contract opportunity supporting our Provenir decisioning platform implementation. This is a hands-on data quality role—not a traditional software QA tester or full Data Engineer position. What we need: 3–5 years of experience and a BS/MS in Computer Science, Computer Engineering, or a related field Strong Databricks and Python skills, plus advanced SQL QA experience using Python/SQL to validate data, including nulls, duplicates, missing/incorrect values, and counts REST API testing and experience building test suites Experience automating testing through scripts and scheduled jobs Strong database design/ERD knowledge Ability to work independently while collaborating effectively with the team Preferred: Financial services/lending experience and exposure to credit decisioning platforms, especially Provenir. The work will focus heavily on validating API inputs/outputs, decision logs, and scoring pipeline results, and building automated tests in Databricks. Please prioritize candidates who can ramp quickly and work Eastern/Central-friendly hours; Pacific Coast candidates are not preferred.