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Principal Data Engineer – Mission Data Pipelines

Galaxia Technologies Inc.
CompanyGalaxia Technologies Inc.
CategoryEngineering
LocationReston
RemoteOn-site (inferred)
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted8 May 2026
Last verified4 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
At Galaxia Technologies, we blend deep technical expertise with agile thinking to design and deliver scalable, impactful solutions. Our team brings cutting-edge knowledge, specialized skillsets, and a future-focused mindset—empowering clients to drive innovation and tackle their most critical challenges at an enterprise scale.   At Galaxia Technologies, we lead the way for secure, mission-ready software solutions that advance the nation’s most critical objectives. Our teams combine deep technical expertise, disciplined execution, and an unwavering commitment to mission assurance—delivering systems that enable information dominance, operational continuity, and strategic decision advantage. We operate at the crossroads of enterprise innovation and national defense, supporting customers across space, cyber, and intelligence domains. The Opportunity Galaxia Technologies is seeking a Principal Data Engineer – Mission Data Pipelines to design, implement, and sustain robust mission data pipelines supporting the Department of the Air Force’s DIFC2 program and the Horizon initiative. In this highly visible role, you’ll partner with the Space Systems Command (SSC) and multi-agency stakeholders to engineer automated, secure, and reliable data flows that strengthen interoperability across mission systems. This position blends data architecture, security compliance, and software engineering—building the backbone that enables real-time mission insight and decision advantage. This role is based in Reston, VA, with a focus on supporting hybrid operations within the DIFC2 Program Management Office. Key Responsibilities Mission Data Architecture & Analysis · Analyze mission workflows and DIFC2 system architectures to identify critical mission data artifacts. · Define the structure, semantics, and lifecycle of DIFC2 mission data products. · Ensure data standards support interoperability, traceability, and reuse across mission components. Collaboration & Integration · Serve as the technical liaison defining data exchange interfaces between DIFC2 and external mission systems. · Collaborate with mission partners to define schema, formats, data transports, and integration expectations. · Document interface specifications to ensure sustained system interoperability and mission assurance. Security & RMF Alignment · Support the Risk Management Framework (RMF) process by defining secure technical data exchanges. · Contribute to compliance documentation including data message definitions, PPSM (Ports, Protocols, and Services Management) entries, and topology diagrams. · Work with cybersecurity teams to ensure data pipelines meet DoD security and RMF requirements. Data Pipeline Engineering · Design, implement, and maintain scalable ETL and data transformation pipelines for ingesting, persisting, and distributing mission-relevant data. · Use low-code/no-code orchestration technologies (e.g., Apache NiFi, Apache Airflow) and custom tools to deliver automated solutions. · Develop and maintain transformation logic in Python, leveraging libraries such as Pandas and NumPy as needed. · Implement API endpoints and service interfaces (REST or platform-native) for downstream mission use. · Ensure validation, normalization, and transformation processes maintain data accuracy and integrity. · Establish monitoring, logging, and alerting mechanisms to maintain pipeline reliability and performance at scale. Deliverables & Impact · Deliver fully operational pipelines enabling automated ingestion and dissemination of DIFC2 mission data. · Develop technical documentation detailing purpose, source systems, transformation logic, and access methods. · Produce RMF artifacts and interface documentation supporting ongoing accreditation and audit readiness. · Continuously refine data pipeline performance to meet evolving mission needs and operat
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