Hiring.Camp

Cartographer - Foundation Data Specialist

Leidos

·

4 days ago

Salary
$51k – $92k
Location
1918 St. Louis MO, United States of America
Type
Full-time
Education
Bachelor
Clearance
Required
Source
Workday

Description

Come begin your journey by joining a great team in St. Louis, MO as a Foundation Data Specialist

This exciting opportunity  provides tradecraft and technical support for Foundation Data production, data integration, and data partnerships in support of the GEOINT Enterprise. The role requires a strong understanding of geography, Foundation Data processes and procedures, and Geographic Information Systems (GIS) to produce, review, and ensure the quality of geospatial data supporting map and chart production at various scales.

Key Responsibilities

  • Provide tradecraft and technical support for Foundation Data production, data integration, and data partnerships supporting GEOINT Enterprise operations.

  • Produce and review national and international Foundation Data for map and chart production at various scales using established Foundation Data processes and GIS principles.

  • Analyze and evaluate Foundation Data to ensure coverage, accuracy, currency, completeness, and applicability to mission and data requirements.

  • Participate in technical exchanges with Government and partner personnel at Government facilities, partner locations, and virtual collaboration environments worldwide.

  • Support Foundation Data production by developing Standard Operating Procedures (SOPs), authoring how-to guides, documenting best practices, and training team members.

  • Ensure a current and accurate International Traffic in Arms Regulations (ITAR) exemption is maintained for all requested support involving partner interactions.

Skills and Experience:

Required

  • Typically requires 2 – 4 years of prior relevant experience or Bachelor's degree with 2 years of prior relevant experience.

  • Active TS/SCI clearance with willingness to be approved for a CI Poly.

  • Demonstrated experience to performing data extraction and Imagery analysis using ArcMap/ArcGIS Pro/MAXAR.

  • Demonstrated experience as part of a team completing timely and accurate foundation data reviews.

  • Demonstrated experience as part of a team performing foundation data quality control / quality assurance analysis using GAIT/QAC software program.

  • Demonstrated experience to operate successfully in a fast-paced and dynamic environment as a team-member.

  • Basic experience understanding of and application of foundation data methodologies.

  • Basic experience to produce foundation data products.

Desired

  • Understanding of the Technical Reference Document TRDv.4.x and UTRDv.1.x.

  • Demonstrated experience to communicate with clarity and accuracy both verbally and written (including virtually environments).

  • Extraction in support of crisis operations, geospatial Digital Twin, or AI/ML.

  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

July 24, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $50,700.00 - $91,650.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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