Data Analyst/QA Engineer
S
Simple Technology SolutionsInformation Technology
Remote, 8am-5pm Eastern TimeFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3-5 years
- Required Skills
- PythonSQLAgileETLCI/CD
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field
- 3-5 years of experience in data quality or QA engineering
- Proficiency in SQL for validation and query development
- Experience with Python for test scripting
- Experience with AWS Glue Data Quality or equivalent frameworks like Deequ/Great Expectations
- Hands-on experience with CI/CD integrated testing frameworks
- Experience supporting IV&V, UAT, or formal government acceptance testing
- Familiarity with XML schema validation
- Experience with query engines such as Trino or Athena
- Familiarity with federal standards including FISMA and NIST 800-53
Responsibilities
- Design and maintain automated data quality checks using AWS Glue and Deequ
- Perform schema validation and manage data load exceptions
- Monitor production ETL pipelines and maintain ETL gap/load reporting
- Develop and execute test cases with 90% unit/integration test coverage
- Conduct static code analysis and security scans
- Support federal IV&V and UAT coordination and documentation
- Maintain performance metrics dashboards
- Resolve data quality findings across dataset portfolio
- Participate in Agile sprint ceremonies, planning, and refinement
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