Job Opportunities API

At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they’re parents, friends, volunteers, artists, and athletes. That’s why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients. Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a “Best Place to Work,” we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn’t a perk—it’s the standard. As a HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map  HERE to see if you qualify! Simple Technology Solutions is looking for a Data Analyst/QA Engineer to add to our team. Quick Position Overview: US Citizenship is required Bachelor's Degree is required minimum of 3-5 years' position related experience is required The Role:   STS is looking for a Data Analyst / QA Engineer to join a federal data engineering team. You will play a critical quality gate role on a federal data platform, ensuring data accuracy and software quality across a high-stakes environment where data integrity directly supports government operations. You will directly support the agency's Independent Verification and Validation (IV&V) process and serve as the critical checkpoint between build and production deployment. Meticulous attention to data accuracy and strong SQL skills are prerequisites for this position.   This position is contingent upon contract award.   The Data Analyst / QA Engineer at STS will:   Design, develop, and  maintain  automated data quality checks using AWS Glue data quality tools (including  Deequ ) to  validate  completeness, accuracy, record counts, field-level integrity, and domain conformance for all datasets ingested into the platform   Perform schema validation for applicable filings prior to ingestion; manage data load exceptions with written approval from Data Stewards; implement custom data quality checks as defined by Data Officers and Data Stewards at the dataset level   Monitor production ETL pipelines and ensure ETL Load Reports are populated in real-time and ETL Gap Reports are updated on a weekly basis covering all gaps from the  inception  of the initial ingest process; ensure zero data loss and complete data transfers   Create,  maintain , and execute test cases and automated tests that verify all user-facing platform functionality; build unit and integration tests; ensure all new code achieves the minimum 90% test coverage threshold   Conduct static code analysis and dependency analysis to  identify  bugs, vulnerabilities, and data quality risks early in the development lifecycle; run security scans at least once per sprint as part of the Definition of Done   Support the agency's IV&V process: prepare IV&V Questionnaires, coordinate test submissions, and ensure all findings are fully addressed and resubmitted within required timelines   Support User Acceptance Testing (UAT) coordination; track and report on IV&V and UAT iteration counts per reporting period   Validate that ETL metadata, data models, data dictionaries, and all required documentation are complete,  accurate , and available in the agency data catalog prior to deployment   Support ad hoc data requests by developing and  validating  optimized queries, materialized views, or reports   Maintain  the team's performance metrics dashboa