Data Analyst / QA Engineer - Simple Technology Solutions

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