About the job
Position Title: Lead Data Engineer for Mission Data Pipeline
Location: Reston, VA
Category: Proposal
Schedule: Full-Time
Travel Required: Minimal
Shift: Day
Remote Type: On-site
Clearance Required: Active TS/SCI Eligible
Division: Aviation
Note: This position is contingent upon contract award.
Company Overview: ACT1 Federal LLC is a proud 100% employee-owned organization dedicated to serving the Department of Defense (DoD) for nearly three decades. Our expertise spans weapon systems engineering, logistics, space domain knowledge, global defense and security, business management for security assistance, and military training. Become a part of our mission-driven team today!
Job Summary: We are looking for a Lead Data Engineer to play a key role in the Mission Data Pipeline, serving as a Subject Matter Expert (SME) for the Department of the Air Force's Integrated Fires Command and Control (DIFC2) Program. You will engage with government and technical stakeholders to design, implement, and maintain data pipelines that efficiently manage mission-critical data across the DIFC2 software ecosystem and external partner systems.
The position will be based in Reston, VA, focusing on supporting the Horizon program within the DIFC2 Program Management Office. Your collaboration with Space Systems Command (SSC) will be pivotal in developing software solutions that enhance data accessibility, mission integration, operational visibility, and cross-system interoperability. You will ensure reliable, secure, and automated data flows that align with operational timelines and meet mission requirements.
Key Responsibilities:
- Identify mission-relevant data artifacts through analysis of DIFC2 workflows and architecture.
- Define data exchange artifacts to support operational capabilities.
- Collaborate with mission system stakeholders, platform engineers, and security teams to ensure compliance with Risk Management Framework (RMF) requirements.
- Leverage both low-code/no-code ETL technologies and custom software development for scalable data pipeline implementation.
