Senior Data Scientist: Data Architecture & Pipelines

geoowl; Springfield (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Insurance

401k Matching

Dental & Vision

Disability & Life Insurance

Spot Bonuses

PTO 120 hours

Military Leave

Job summary

Geo Owl is seeking a Senior Data Scientist to own the data architecture and pipeline infrastructure for the government AI model evaluation program. You will build ETL workflows, manage schemas, and ensure secure cross-domain data movement in a SCIF-based environment.

Working with imagery scientists and the government team, you will deploy API-driven workflows, standardize sensor data, monitor data health, and maintain documentation to support accreditation testing and national security outcomes.

Qualifications

• Active TS/SCI clearance with eligibility for SI/TK/G/HCS/NATO access; CI polygraph required or willingness to obtain
• 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

Responsibilities

• 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
• 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

Skills

SQL/NoSQL databases

APIs

Python/JavaScript/Java

Data pipelines

Communication

Tools

Cloud architectures

REST APIs

Job description

Geo Owl is seeking a Senior Data Scientist to own the data architecture and pipeline infrastructure for the government AI model evaluation program. You will build ETL workflows, manage schemas, and ensure secure cross-domain data movement in a SCIF-based environment.

Working with imagery scientists and the government team, you will deploy API-driven workflows, standardize sensor data, monitor data health, and maintain documentation to support accreditation testing and national security outcomes.