Geospatial Software Engineer at Cymertek Reston, VA
Listed on 2026-06-17
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
LOCATION
Reston, VA 20190
CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARYWe are seeking a dynamic and innovative Geospatial Software Engineer to design and develop cutting‑edge software solutions that harness the power of geospatial data. In this role, you will create tools and applications to process, analyze, and visualize geospatial information, enabling impactful decision‑making across a variety of domains. The ideal candidate is proficient in geospatial technologies, passionate about solving complex challenges, and eager to contribute to a team working on transformative projects.
If you thrive in a fast‑paced, collaborative environment and are ready to shape the future of geospatial technology, we encourage you to apply.
Bachelor's Degree
DEGREE (Focus)Geospatial Science, Computer Science, Geographic Information Systems (GIS), Software Engineering, Cartography, Remote Sensing, Environmental Science, Data Science, Applied Mathematics, Civil Engineering, Spatial Data Science, Geography, Geoinformatics, Earth Sciences, Engineering, Computational Science, Urban Planning, Artificial Intelligence, Geospatial Technologies, Environmental Engineering, etc.
ALTERNATE EXPERIENCEGeneral comment on degrees:
Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
- Design and develop geospatial software applications
- Process, analyze, and visualize geospatial data
- Ensure the integration of geospatial data with other systems
- Maintain and optimize geospatial databases and tools
- Develop custom algorithms for geospatial analysis
- Collaborate with teams to define software requirements for geospatial projects
- Proficiency in GIS software and tools (e.g., ArcGIS, QGIS)
- Strong knowledge of spatial data structures and formats
- Expertise in geospatial programming languages (e.g., Python, R)
- Familiarity with spatial databases (e.g., PostGIS, Spatialite)
- Experience with geospatial web services (e.g., WMS, WFS)
- Knowledge of coordinate systems and projections
- Experience with remote sensing technologies
- Familiarity with cloud‑based geospatial platforms (e.g., AWS, Google Earth Engine)
- Ability to automate geospatial workflows
- Knowledge of machine learning for geospatial analysis
- Strong data visualization skills for geospatial data
- Understanding of open‑source geospatial libraries and frameworks
- Excellent Salaries
- Flexible Work Schedule
- Cafeteria Style Benefits
- 10% - 401k Matching (Vested Immediately)
- Additional 401k Profit Sharing
- 30 days Paid Leave/Holiday (No Use or Lose!)
- The day off for your birthday
- Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
- HSA/FSA
- AFLAC
- Long Term/Short Term Disability - 100% employee coverage. No cost to you.
- Life Insurance - 100% employee coverage. No cost to you.
- Additional Discretionary Life Insurance
- Paid Training
- No long, wordy reviews with tons of paperwork!!!
- Referral bonus program with recurring annual payments
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws.
We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.
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