GeoYeti

Expert Data Scientist

GeoYeti St. Louis, Missouri, United States · $165K–$194K/yr

Defense & Space · 2-10 employees

11 h ago
data-scientist Mid (2-5 yrs) Full-time United States
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About the role

The role involves owning the backend data architecture for a large geospatial imagery program by building and maintaining operational data pipelines. You will be responsible for ensuring data moves efficiently across security domains, platforms, and systems.

What they look for

Data Engineering SQL NoSQL Cloud Environments Data Pipelines Python JavaScript Java API Geospatial Imagery Data Architecture Technical Communication System Monitoring Data Visualization

Requirements

Candidates must possess an active TS/SCI clearance and at least 4 years of experience building and maintaining SQL or NoSQL databases in cloud environments. Proficiency in Python, JavaScript, or Java is required, along with the ability to manage operational data pipelines.

Benefits

Health Insurance Dental Insurance Vision Insurance 401(k) Paid Time Off Short Term Disability Long Term Disability Life Insurance Voluntary Life Insurance Stipends Referral Bonuses

Full description

Overview

Expert Data Scientist

Springfield, VA or St. Louis, MO

Active TS/SCI

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Expert Data Scientist in Springfield, VA or St. Louis, MO.

Responsibilities

This is a data engineering role at its core. You will own the backend data architecture for a large geospatial imagery program, building and maintaining the pipelines that move data across security domains, platforms, and systems. The work is hands-on and operational. If you have spent time building data infrastructure in IC or DoD environments and know how to get data moving across domains without breaking things downstream, this role will feel familiar. Note: this is not a research or modeling position. The job is keeping the data infrastructure running and scaling.

Qualifications

Required Qualifications:

  • Active TS/SCI clearance
  • 4+ years building and maintaining SQL and/or NoSQL databases in cloud environments
  • Proven experience developing, monitoring, and sustaining operational data pipelines across multiple data formats and interfaces
  • Experience using APIs to query systems and move data between platforms
  • Proficiency in Python, JavaScript, or Java for pipeline development
  • Ability to explain technical architecture clearly to both engineers and non-technical government customers

Desired Qualifications:

  • Experience with government ATO processes and Non-Person Entity (NPE) certificate management
  • Familiarity with SAFe (Scaled Agile Framework for Enterprise)
  • Experience building visualizations to monitor pipeline health, data availability, and volumetrics

What you can expect from us

  • The expected salary range within the Washington, DC metropolitan area is: $165,000-$193,812. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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