Leidos
Cartographer
Springfield, VA
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- Seniority
- Mid level
- Stated salary
- $59,150 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
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the posting
Come begin your journey with Leidos by joining a great team in Springfield, VA as a Foundation Data Specialist
This exciting opportunity supports the production and quality assurance of Foundation Data used in map and chart production across multiple scales. The role requires a strong understanding of geography, Foundation Data processes and procedures, and Geographic Information Systems (GIS) to ensure geospatial data is accurate, complete, current, and mission-ready.
Primary Responsibilities
Produce and review national and international Foundation Data supporting map and chart production at various scales.
Analyze and evaluate Foundation Data for quality assurance, including 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), creating training 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.
BASIC QUALIFICATIONS
- Typically requires a bachelor’s degree and/or 4 – 8 years of prior relevant experience or Master’s degree with 2 – 6 years of prior relevant experience.
- Minimum 5 combined points experience points as defined by the customer.
- Active TS/SCI clearance with willingness to be approved for a Polygraph.
- 1-3 years demonstrated experience performing data extraction and Imagery analysis using ArcMap/ArcGIS Pro/MAXAR.
- 1-3 years demonstrated experience completing timely and accurate foundation data reviews.
- 1-3 years demonstrated experience performing foundation data quality control / quality assurance analysis using GAIT/QAC software program.
- Demonstrated experience understanding of and application of foundation data methodologies.
- Demonstrated experience to produce foundation data products.
PREFERRED QUALIFICATIONS
- While Defense Language Proficiency Test (DLPT) scores or other formal language certifications are not required, candidates should possess a high degree of professional proficiency in spoken Spanish to effectively communicate in an operational environment.
- Proficiency in common 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).
- Data extraction in support of crisis operations, geospatial Digital Twin, or Artificial Intelligence (AI) / Machine Learning (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.
#NSBA #GEOINTMISSION
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:
September 21, 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 $59,150.00 - $106,925.00
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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