Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDWe are seeking an experienced
Data Systems & Sustaining Engineer to provide direct technical support to the Enterprise Data Office (EDO). In this role, you will work in close coordination with cross-functional capability teams to ensure the reliability, integrity, and evolution of sustained software products and analytics suites.
The primary focus of this position is the identification, root-cause analysis, and triage of complex data errors across ingestion and processing pipelines, as well as the onboarding and validation of new data archetypes into existing operational systems. The ideal candidate brings deep software engineering fundamentals in Python and Java, paired with a solid grasp of network protocols and geospatial data structures.
The annual base salary range for this role is $213,000-$252,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Proficiency in Python and Java: Demonstrated hands-on software development experience building, debugging, and maintaining backend components and data manipulation scripts in both languages.
- Product Sustaining & Lifecycle Support: Direct experience maintaining and sustaining operational software products, including debugging legacy codebases, managing defect backlogs, and applying patch fixes in production or staging environments.
- Data Triage & Root-Cause Troubleshooting: Proven ability to systematically isolate, reproduce, and resolve data format errors, schema mismatches, and pipeline ingestion failures across large-scale distributed systems.
- Network Data Understanding: Strong foundational understanding of network architecture, protocol headers, flow records (e.g., NetFlow/IPFIX), IP routing, and packet structures.
- Geospatial Data Competency: Practical knowledge of geospatial reference formats, coordinate systems, and spatial data serialization (e.g., GeoJSON, shapefiles, KML, or WKT).
Education:
Bachelor's Degree in Cyber Security, Computer Science, Computer Engineering, or a related technical discipline, PLUS
11+ years of professional experience in cyber operations, network analysis, or data engineering OR
Associate's Degree PLUS
13+ years of specialized technical experience in lieu of a degree.
Desired Skills- Familiarity with Analytic Suites: Hands-on experience or working familiarity with specialized enterprise analyst tools such as Digital Network Intelligence tools (DX) and XKEYSCORE (XKS).
- Streaming & Message Queue Technologies: Experience working with distributed pub/sub and messaging frameworks (e.g., Apache Kafka, RabbitMQ, or AWS Kinesis).
- Schema Definition & Serialization Frameworks: Familiarity with data modeling tools and structured formats such as Protocol Buffers, Apache Avro, XML/XSD, or JSON Schema.
- CI/CD & Containerization: Working knowledge of modern deployment environments including Docker, Kubernetes, GitLab CI/CD, or Jenkins.
- Agile Collaboration: Experience working within an Agile/Scrum framework alongside government enterprise leads, cross-functional engineering teams, and operational mission analysts.
