Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Herndon, VA
Actively hiring, first seen by us todayWhat 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.Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Active TS/SCI clearance with CI poly required to start
Lead testing of a cloud geospatial data lake, from ingestion pipelines to GIS client integrations
Write test strategies, plans, cases, and traceability matrices tied to requirements
Find, triage, and track defects to resolution with developers and government stakeholders
Plan and lead User Acceptance Testing events with government customers
Validate geospatial data quality and test REST APIs for correctness, security, and performance
Serves as the primary test and quality lead for a cloud-based geospatial data lake and its components
Develop and execute test strategies, plans, cases, and traceability matrices mapped to requirements/user stories
Identify, reproduce, document, and triage defects with developers and government stakeholders
Plan, coordinate, and lead User Acceptance Testing (UAT) events with government customers
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.
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).
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.
Experience supporting software in DoD/IC accreditation environments (RMF, ATO documentation).
- 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:
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 7 and day 55.
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Desired Qualifications: - Test automation (Python/pytest, Selenium, Playwright, or similar). - PostGIS and spatial SQL.Performance/load testing (JMeter, Locust, k6).
- 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).
- 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).
- 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.
- 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.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Geospatial Data Scientist & Quality Assurance Engineer
Herndon, Virginia
TS/SCI with CI poly
At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
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.
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.
Required Qualifications:
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.
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Herndon, VA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.