Geospatial Data Systems Engineer (TS​/SCI + Poly) McLean VA

McLean VA

Our Mission Statement

At Aperio Global, we bring together experts in cybersecurity, AI, data analytics, and cloud technologies to solve complex national security challenges. We focus on work where our expertise creates the greatest impact.

Our team includes technologists, Intelligence Community veterans, and security professionals who believe the best solutions come from collaboration, accountability, and technical excellence. From cyber operations and AI platforms to cloud‑native software and emerging technologies, our work speaks for itself.

Come Solve With Us

We offer competitive pay, comprehensive benefits, retirement savings with company match, generous paid time off, and professional development. We invest in our people because great missions require great teams.

TS/SCI with Polygraph Required

McLean VA

At Aperio Global
, we solve complex national security challenges through data, analytics, and emerging technologies. We're seeking a Senior Geospatial Data Engineer to develop scalable geospatial solutions that transform complex datasets into actionable intelligence.

You’ll leverage Python, ArcGIS Enterprise, and Tableau to automate data workflows, manage enterprise GIS content, and deliver visualization products that support mission‑critical decision making.

• Partner with mission stakeholders to understand geospatial data, analytics, and visualization requirements.
• Develop Python automation for geospatial data processing, transformation, validation, and publication.
• Build, maintain, and enhance ArcGIS Enterprise/Portal content, including hosted feature layers, web maps, dashboards, and map services.
• Design Tableau dashboards and visual analytics that communicate complex geospatial information.
• Integrate spatial and tabular datasets into scalable analytical solutions.
• Manage enterprise geospatial data, metadata, quality assurance, and lifecycle processes.
• Create technical documentation and collaborate across multidisciplinary engineering and mission teams.

• Active TS/SCI with Polygraph
• Bachelor's degree in GIS, Geography, Computer Science, Engineering, Data Science, or related field.
• Senior‑level experience supporting geospatial engineering, GIS development, or data engineering.
• Strong Python development experience for automation and geospatial data processing.
• Hands‑on experience with ArcGIS Enterprise/Portal and enterprise GIS content management.
• Experience with Tableau or similar business intelligence platforms.
• Working knowledge of spatial data management, geoprocessing, and PostgreSQL/PostGIS.
• Strong analytical, communication, and problem‑solving skills.

Experience with ArcGIS Pro, Arc Py, Geo Pandas, GDAL, QGIS, Shapely, Rasterio, Elasticsearch, Kibana, PostgreSQL/PostGIS, cloud-hosted GIS environments, Amazon S3, Git, Jira, Dev Ops, containerization, Agile development, spatial analytics, or machine learning.

160-220k

The salary range for this role represents Aperio’s good‑faith estimate of compensation at the time of posting. Placement within the range is based on multiple factors, including but not limited to an individual’s qualifications, relevant experience, education, certifications, technical skills, contract labor categories and/or rates, work location, market conditions, and business needs.

At Aperio Global, we understand the value of investing in our most important asset—our employees. That's why we have crafted a comprehensive benefits package designed to help you make the best decision for yourself, your family and your lifestyle. For additional details, contact our talent acquisition team.

• Retirement Plan (401k, IRA) with 100% employer match up to 6%
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Professional Development
• (and much more)

Aperio Global is an equal opportunity employer. We are committed to building an inclusive workforce where all employees and applicants are treated with respect and fairness. Employment decisions are based solely on qualifications, merit, and business needs — never on race, color, religion, sex, national origin, age, disability, genetic information, military or veteran status, pregnancy/childbirth, sexual orientation, gender identity, marital status, ethnicity, or any other characteristic protected by applicable federal, state, or local law.