About this opportunity
Geo Owl lists this Senior Data Scientist opportunity in springfield, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The imagery that supports the Government's AI model evaluation 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 this program, 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.
Role Overview
Geo Owl · SDVOSB · Est. 2013
Senior Data Scientist
DATA ARCHITECTURE · AI/ML · SENIOR LEVEL · KEY POSITION
The imagery that supports the Government's AI model evaluation 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 this program, 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.
Role Overview
As a Senior Data Scientist on the 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 government customer 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.
A Day in the Life
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 core business hours (10am–2pm EST) to coordinate with imagery scientists and the government customer on data architecture and pipeline questions
Why This Role Matters
Mission Impact
program cannot run AI model evaluation and testing 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 program 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, enterprise data platforms and MLOps technologies, and AI/ML-ready data infrastructure — in a program context where data engineering directly enables national security outcomes.
Core Responsibilities
Build and maintain database infrastructure (tables, schemas, health alerts, ETL pipelines) to store and process emergent sensor data in support of program AI model evaluation and testing
Develop API-based workflows to enable data movement between platforms across security domains as directed by the government
Ensure all sensor data adheres to government-directed data schemas, formats, and governance requirements throughout the pipeline
Assess metadata, format, and data structure differences for new sensors; adapt ETL processes, schemas, and APIs accordingly to enable clean ingestion into the existing data operations pipeline
Determine pre-processing and standardization requirements for new sensor data — file format conversion, tiling/chipping to specified geospatial bounds, orthorectification, and other data transformations required for labeling and model testing
Maintain pipeline reliability and data availability across program's operational environment; respond to data health issues that could block the accreditation testing workflow
Required Qualifications
Active TS/SCI clearance with eligibility for SI/TK/G/HCS/NATO access; CI polygraph required or willingness to obtain
Minimum 10 experience points required (see experience point calculation below)
4+ years of experience working with SQL or NoSQL databases and cloud architectures
Experience leveraging APIs to query systems and migrate data
Experience with programming languages including Python, JavaScript, or Java
Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces
Excellent written and verbal communication skills; ability to articulate complex technical concepts to both lay and expert audiences
Preferred Qualifications
Experience with government enterprise technologies, authorization processes, and secure government system access management
Experience implementing processes and tools within an organization using the Scaled Agile Framework for Enterprise (SAFe)
Experience developing dynamic visualizations to monitor pipeline availability, currency, and volumetrics
Experience Point Requirement
Experience Point Requirement
This is a Senior-level (Level 4) position requiring a minimum of 10 experience points. Points are calculated as follows:
Education: Associate's = 2 pts · Bachelor's = 3 pts · Master's = +2 pts · PhD = +3 pts
Professional / Military Experience: 1 pt per year of relevant experience
Certifications: 0.5 pts each
Specialized Training: 0.25 pts per relevant course
Professional Impact (publications, presentations, patents): up to 3 pts total
Tools, Technologies & Tradecraft
Tools, Technologies & Tradecraft Python JavaScript / Java SQL NoSQL Cloud Architecture REST APIs ETL Pipelines Geospatial Data Formats Orthorectification / Chipping Government Enterprise Technologies (Preferred) SAFe (Preferred)
What Makes Someone Successful in This Role
You're fluent across the data stack — schema design, API development, ETL orchestration, and cross-domain data movement feel like one integrated problem to you, not separate tracks
You navigate classified environments with precision — you understand that government system access credentials and ATO requirements, and security domain constraints aren't overhead, they're the architecture
You can assess a new sensor's metadata and schema against an existing pipeline and tell the team exactly what needs to change before the first data arrives
You take governance seriously — you understand that non-compliant data in the accreditation pipeline produces unreliable test results, and you prevent it at the ETL layer
You communicate your engineering decisions clearly — you can explain a schema change or a pipeline failure to imagery scientists and program managers who don't speak SQL
Is This Role For You?
Great Fit
You are a data engineer who thrives in structured, high-compliance classified environments and wants your pipeline work to matter at the national security level. You have experience with government cloud infrastructure or cross-domain data solutions and are energized by the challenge of keeping complex, multi-sensor data operations running in a SCIF-based environment.
May Not Be For You
This may not be the right fit if you prefer rapid-iteration commercial cloud environments without classified IT constraints, or if working from a certified contractor SCIF rather than remotely from home is not compatible with your situation.
Career Growth & Professional Value
This role builds deep expertise in geospatial data engineering within a classified government environment — including cross-domain data solutions, enterprise data platforms, and AI/ML-ready pipeline architecture. Experience maintaining data infrastructure for a government AI model evaluation program that spans multiple computer vision programs (multiple AI/ML programs) is a highly differentiated credential for data engineers pursuing senior or architect-level roles in the defense and intelligence community.
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Worksite address
springfield, VA, 22161, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.