Simple Technology Solutions - Data Analyst/QA Engineer

• Bachelor's degree or higher in Computer Science, Information Systems, Data Analytics, or a related field • 3-5 years of experience in data quality engineering, QA engineering, or data analytics in a technical data-intensive environment • Proficiency in SQL for data validation, gap analysis, record count reconciliation, and ad hoc query development • Experience with Python for test scripting and data analysis • Experience with AWS Glue data quality tools or equivalent frameworks (Deequ, Great Expectations) • Hands-on experience with CI/CD-integrated automated testing frameworks; ability to build unit and integration tests achieving 90% code coverage • Experience supporting IV&V, UAT, or formal government acceptance testing processes; direct federal program experience is strongly preferred • Familiarity with schema validation for XML datasets • Experience with Trino, Athena, or equivalent query engines for validation against large-scale data lake tables • Ability to produce complete test documentation including test plans, test cases, test results, and IV&V Questionnaires • Familiarity with FISMA, NIST 800-53, OWASP ASVS Level 2, and federal secure software development standards • Experience with large-scale financial or regulatory datasets is a strong plus • Familiarity with Section 508 accessibility compliance standards is a plus • Must be able to work 8am-5pm Eastern Time regardless of home location • Active federal public trust suitability determination or ability to obtain one required • STS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.