Data Engineer
Mid-Level Data Engineer responsible for designing, building, and maintaining scalable data pipelines and ETL processes using Python, SQL, AWS services, and Spark, while orchestrating workflows with Airflow to support federal government analytics and reporting.
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 Mid-Level Data Engineer to add to our team.
Quick Position Overview:
The Role:
STS is looking for a Mid-Level Data Engineer to join a federal data engineering team. You will work alongside senior engineers building and maintaining ETL pipelines on a cloud-based Enterprise Data Platform (EDP) built on AWS, working at enterprise scale — processing terabytes of financial data across a large portfolio of automated pipelines — as part of an agile team building systems that support critical government functions. A willingness to learn, strong attention to detail, and a team-first mindset are prerequisites for this position.
This position is contingent upon contract award.
The Mid-Level Data Engineer at STS will:
Posted June 23, 2026