Active TS/SCI clearance with CI poly required to start
Hands-on experience with integration, end-to-end, regression, and UAT testing; skilled in writing test plans and reports
Proficiency in defect/test management tools (e.g., Jira, TestRail) and REST API testing (Postman)
Working knowledge of SQL for data validation
Understanding of GIS fundamentals and desktop GIS tools (Esri ArcGIS Pro, QGIS)
Familiarity with AWS services and multi-environment release pipelines
Strong communication skills for interacting with government customers and technical writing
Responsibilities
Lead testing and quality assurance for a cloud-based geospatial data lake and its components
Develop and execute comprehensive test strategies and plans based on user requirements
Identify, document, and track defects, ensuring resolution and reporting trends to leadership
Coordinate and lead User Acceptance Testing (UAT) events with government customers
Validate geospatial data quality and test REST APIs for performance and security
Create and maintain documentation including user guides and test reports
Benefits
Health/Dental/Vision insurance
401(k) plan
Paid Time Off
Short-term and long-term disability insurance
Life insurance and voluntary life insurance
Stipends and referral bonuses
Full Job Description
Overview
Geospatial Data Scientist & Quality Assurance Engineer
Herndon, Virginia
TS/SCI with CI poly
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 Geospatial Data Scientist & Quality Assurance Engineer in Herndon, Virginia.
Responsibilities
Serves as the primary test and quality lead for a cloud-based geospatial data lake and its components (ingestion pipelines, data services/APIs, search interfaces, and GIS client integrations). Works directly with government customers and the cloud development team to plan and execute testing, find and track defects through resolution, lead user acceptance testing, and ensure the product is usable, documented, and effective for mission users.
Develop and execute test strategies, plans, cases, and traceability matrices mapped to requirements/user stories across the ingestion, transformation, storage, API, and GIS client layers of the geospatial data lake.
Identify, reproduce, document, and triage defects with developers and government stakeholders; track to resolution, verify fixes, and report defect trends and release readiness to program leadership and customers.
Plan, coordinate, and lead User Acceptance Testing (UAT) events with government customers, acting as the end-user advocate within the development team.
Validate geospatial data quality (geometry validity, coordinate reference systems/projections, attribute completeness, spatial query accuracy) and test REST APIs/data services for correctness, error handling, security controls, and performance.
Build and maintain data dictionaries, user guides, release notes, and test reports; design and deliver end-user training; and support documentation required for accreditation, audits, and release approvals.
Qualifications
Required Qualifications:
Active TS/SCI clearance with CI poly required to start
Hands-on experience planning/executing integration, end-to-end, regression, and UAT testing; writing test plans, cases, and reports from requirements or user stories.
Proficiency with defect/test management tools (Jira, Xray, Zephyr, TestRail, or similar) and REST API testing (Postman, curl, or scripted tests).
Working knowledge of SQL for data validation and back-end verification.
GIS fundamentals: coordinate reference systems, projections, datums, vector/raster data models; common formats (GeoJSON, Shapefile); desktop GIS (Esri ArcGIS Pro and/or QGIS).
Familiarity with AWS-hosted applications and services (Lambda, ECS, SQS/SNS, Aurora PostgreSQL) sufficient to isolate failures; multi-environment release pipelines and Git.
Demonstrated ability to work directly with government/end-user customers, run test events, and communicate technical issues to non-technical audiences; strong technical writing.
Bachelor's degree in Data Science, Information Systems, GIS, Geography, Engineering, or a related field (or equivalent experience); typically 3+ years of software testing/QA, including data-intensive or geospatial systems.
Desired Qualifications:
Test automation (Python/pytest, Selenium, Playwright, or similar).
PostGIS and spatial SQL.Performance/load testing (JMeter, Locust, k6).
Experience supporting software in DoD/IC accreditation environments (RMF, ATO documentation).
Certifications such as ISTQB (Foundation or Advanced), CSTE, AWS Cloud Practitioner, or Esri technical certification.
DoD 8140 baseline certification (e.g., CompTIA Security+) if the role requires privileged system access.
What you can expect from us
The expected salary range within the Washington, DC metropolitan area is: $180,000 - 225,000. 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.
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