Data Engineer, TS/SCI

Job Description Seeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and sustain data pipelines that ingest, transform, store, and distribute mission-relevant data across the DIFC2 software ecosystem and external mission partner systems/ You will support the development and delivery of software capabilities that improve data accessibility, mission integration, operational visibility, and cross-system interoperability across a highly dynamic mission environment. The focuses on enabling reliable, automated, and secure data flows that support mission capabilities on operational timelines. This position requires collaboration with mission system stakeholders, platform engineers, and security teams to define data exchange artifacts, develop pipeline implementations, and ensure interfaces comply with Risk Management Framework (RMF) requirements. The engineer will leverage both low-code/no-code ETL technologies and custom software development to implement scalable data pipelines that support the data architecture. Typical job responsibilities Include: Mission-Relevant Data Artifact Identification: Analyze mission workflows and system architecture to identify the data artifacts required to support operational capabilities. Define the structure [... source excerpt omitted ...] t (PPSM) entries System topology diagrams and interface documentation Coordinate with cybersecurity engineers to ensure pipeline implementations meet DoW security and compliance requirements. Data Pipeline Development & Sustainment: Design and implement automated data pipelines that ingest, transform, persist, and expose data artifacts for use by internal and external stakeholders. Utilize government-provided data platform infrastructure to build scalable ETL workflows. Develop custom transformation logic when required using appropriate programming languages and data processing frameworks. Expose processed data products through standardized service interfaces such as REST APIs [... source excerpt omitted ...] hoot data pipeline failures and implement monitoring, logging, and recovery mechanisms. Optimize pipeline performance to support mission timelines and large-scale data processing requirements. Deliverables & Key Projects Design and implementation of production data pipelines enabling automated ingestion and dissemination of mission data across systems. Technical documentation describing data artifacts, including purpose and operational relevance, source systems and ingestion methods, transformation logic, and destination systems and access interfaces Interface documentation supporting integration with external mission partners. RMF technical artifacts supporting security author