Data Scientist – GEOINT Data Architecture & Operational Pipelines (NGA)
About The Position
Engineer the data backbone powering next-generation geospatial intelligence. This role is focused on operational data architecture, ETL and API-driven workflows, cross-domain data movement, cloud-based data engineering, and geospatial and sensor data standardization. You will help build and maintain the data infrastructure that enables secure, scalable, and mission-critical intelligence operations. The Data Scientist will support the maintenance and implementation of enterprise data architecture supporting emerging sensors and platforms, multi-source GEOINT data operations, and secure data movement across systems and security domains. This role requires hands-on expertise with databases and cloud architectures, API integrations, ETL/data pipelines, operational workflow automation, and data transformation and standardization. The ideal candidate is both technically strong and operationally minded, with the ability to support mission-critical intelligence workflows in highly secure environments.
Requirements
- 4+ years experience working with SQL or NoSQL databases
- 4+ years experience working with Cloud architectures
- 4+ years experience working with Operational data workflows
- Experience leveraging APIs
- Experience leveraging ETL pipelines
- Experience leveraging Data integration workflows
- Strong experience with Python
- Strong experience with JavaScript
- Strong experience with Java
- Experience developing and sustaining Operational data pipelines
- Experience developing and sustaining Multi-format data workflows
- Experience developing and sustaining Backend processing systems
- Excellent written and verbal communication skills
- Ability to explain complex technical concepts to Engineers, Analysts, and Government stakeholders
- U.S. Citizen Required
- Active TS/SCI Required
Nice To Haves
- Experience with NGA CORE
- Experience with NGA MLOps
- Experience with Government ATO processes
- Experience with NPE certificates
- Familiarity with Scaled Agile Framework (SAFe)
- Familiarity with Enterprise DevSecOps environments
- Experience creating Dynamic visualizations
- Experience creating Pipeline monitoring dashboards
- Experience creating Operational metrics reporting
Responsibilities
- Design, develop, and sustain operational data pipelines supporting multiple data formats, sensor ingestion workflows, and cross-platform integrations.
- Support ETL workflows for emergent sensor data.
- Build and maintain database schemas, cloud-based architectures, and data movement workflows.
- Support secure movement of data across systems, security domains, and APIs.
- Develop API-based workflows for data ingestion, data transfer, and operational integration.
- Integrate sensor data into existing enterprise data pipelines.
- Assess metadata, schema, and format differences across datasets.
- Pre-process and standardize sensor data for labeling, analytics, model testing, and operational exploitation.
- Implement data health alerts, pipeline monitoring, and governance controls.
- Ensure compliance with government data standards, schema requirements, and security policies.
- Collaborate with engineers, analysts, and government stakeholders.
- Communicate complex technical concepts to both technical and non-technical audiences.
Benefits
- Medical, dental, and vision insurance
- Life insurance
- Short- and long-term disability
- 401(k) with company match
- Paid time off and holidays
- Tuition reimbursement
- Professional development and training
- Employee wellness programs
- Commuter benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
