Geospatial QA Lead & Data Scientist (TS/SCI)

Graham Tech; Herndon (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Four Weeks PTO first year

Eleven paid federal holidays

Health, Dental, Vision, Life Insurance

401(k) Plan with employer contrib.

Flexible schedules

Education and training reimbursements

Job summary

Graham Technologies is seeking a Geospatial Quality Assurance Engineer / Data Scientist to support a cloud-based geospatial data platform for a federal intelligence community customer. The role combines software QA with geospatial data expertise, cloud technologies, and hands-on validation of complex data systems.

As the primary testing and QA lead, you will ensure reliability, accuracy, performance, and usability of pipelines, services, APIs, and GIS applications.

Qualifications

• Active TS/SCI clearance with CI Polygraph is mandatory.
• Bachelor's degree in Data Science, Computer Science, Information Systems, GIS, Geography, Engineering, or related discipline; equivalent experience may be considered.
• Typically 3+ years of professional software quality assurance or testing experience, preferably with data-intensive or geospatial apps.
• Experience with integration, end-to-end, regression, and user acceptance testing.
• Experience developing test plans, test cases, test reports, and requirements traceability matrices.
• Proficiency with Jira, Xray, Zephyr, TestRail, or comparable test management tools.
• Experience testing REST APIs using Postman, curl, or automated testing scripts.
• Working knowledge of SQL for data validation and backend verification.
• Understanding of GIS fundamentals and ArcGIS Pro / QGIS experience.
• Familiarity with AWS cloud services and cloud-hosted architectures.
• Knowledge of Git and multi-environment release processes.
• Strong analytical, troubleshooting, communication, and technical writing skills.
• Experience collaborating with government stakeholders or end users.
• Ability to work on-site in a secure environment.

Responsibilities

• Develop and execute test strategies, plans, cases, and requirements traceability matrices.
• Conduct integration, end-to-end, regression, functional, and UAT testing.
• Validate geospatial data ingestion, transformation, storage, and retrieval processes.
• Identify, document, prioritize, and track defects through resolution.
• Collaborate with engineering teams to troubleshoot issues and verify fixes.
• Monitor testing metrics, defect trends, and release readiness.
• Plan, coordinate, and lead UAT sessions with government customers and end users.
• Translate operational requirements into executable test scenarios.
• Communicate technical findings to technical and nontechnical stakeholders.
• Support release planning, customer demonstrations, and acceptance activities.
• Develop and maintain test plans, reports, data dictionaries, and docs.
• Prepare user guides, release notes, and system documentation.
• Develop and deliver end-user training.
• Support documentation for security accreditation, audits, and release approvals.

Skills

Software QA

Geospatial data

Cloud technologies

UAT testing

Data validation

Education

Bachelor's degree in Data Science, Computer Science, Information Systems, GIS, Geography, Engineering

Tools

Jira

Xray

Zephyr

TestRail

Postman

SQL

ArcGIS Pro

QGIS

AWS

Git

Job description

Graham Technologies is seeking a Geospatial Quality Assurance Engineer / Data Scientist to support a cloud-based geospatial data platform for a federal intelligence community customer. The role combines software QA with geospatial data expertise, cloud technologies, and hands-on validation of complex data systems.

As the primary testing and QA lead, you will ensure reliability, accuracy, performance, and usability of pipelines, services, APIs, and GIS applications.