Senior Data Scientist

Geo Owl
· SDVOSB
· Est. 2013

NGA AGAIM PROGRAM
· DATA ARCHITECTURE
· GEOINT AI
· SENIOR LEVEL
· KEY POSITION

The imagery that supports NGA's AI model accreditation program doesn't move itself. It has to be ingested, standardized, transformed, and routed across security domains with precision — and that requires a data engineer who can build the backend that makes it all work. As a Senior Data Scientist on AGAIM, you'll own the data architecture and pipeline infrastructure that enables the accreditation pipeline to run: building ETL workflows, managing database schemas, and solving the cross-domain data problems that stand between an AI model and its accreditation clearance.

As a Senior Data Scientist on the AGAIM program, you support the maintenance and implementation of the data architecture that enables the program to store, process, and move imagery data across security domains and systems. Working alongside imagery scientists and the AGAIM government team, you'll build and sustain the pipelines and database infrastructure needed to ingest emergent sensor data, apply ETL transformations to standardize it for labeling and model testing, and move it between platforms via API.

You'll bring deep database and cloud architecture experience, strong programming skills, and the ability to work within classified government IT environments. This is a SCIF-based role performed at a contractor facility.

Source-Derived Role Summary

The Data Scientist shall support the maintenance and implementation of the data architecture for all Program data. This position requires experience with databases, cloud architectures, and compliance with data standards. This position is responsible for maintaining data backend workflows that allow for the movement of data across security domains and across systems.

• Build and maintain database tables, schemas, and health alerts for emergent sensor data; set up ETL pipelines to ingest, transform, and load new imagery data in alignment with government schemas and governance requirements
• Develop API-based workflows to enable data movement between platforms as directed by the government; assess metadata, format, and schema differences when integrating new sensors into the existing data operations pipeline
• Determine pre-processing and standardization approaches for new sensor data — file format conversions, geospatial tiling (chipping), orthorectification, and other data transformations needed for labeling and model testing
• Monitor data health and pipeline availability; address issues that could block imagery delivery to the accreditation testing pipeline
• Ensure all sensor data adheres to government-directed schemas, formats, and governance requirements; maintain documentation and standards compliance throughout the pipeline
• Available during NGA core hours (10am–2pm EST) to coordinate with imagery scientists and the government customer on data architecture and pipeline questions

Mission Impact

AGAIM cannot run Level 3 accreditation testing without properly formatted, schema-compliant imagery data that has been moved securely across the domains where it needs to live. Your pipeline work is the infrastructure that connects imagery identification to model testing — and when it works, AI models get accredited and cleared for operational use.

Geo Owl Impact

Your engineering reliability is a Key Position deliverable on this program. Your work sustains Geo Owl's technical standing on AGAIM and demonstrates the data capability that makes us a credible partner on this contract.

Your Growth

You'll develop deep expertise in classified government cloud and data pipeline environments — including cross-domain data solutions, NGA enterprise tooling (CORE, MLOps), and AI/ML-ready data infrastructure — in a program context where data engineering directly enables national security outcomes.

• Build and maintain database infrastructure (tables, schemas, health alerts, ETL pipelines) to store and process emergent sensor data in support of AGAIM Level 3 accreditation
• Develop API-based workflows to enable data movement…