Performs hands-on data quality analysis for a Provenir decisioning platform implementation. Validates API inputs and outputs, decision logs, scoring pipelines, and data integrity using Python, SQL, and Databricks. Builds automated test suites, scripts, and scheduled jobs to identify nulls, duplicates, missing or incorrect values, and count discrepancies. Requires strong database design knowledge and independent collaboration. Financial services, lending, and Provenir experience are preferred.
This is a remote position.
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.
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