Geospatial Data Analyst: Global GIS & Data Quality

MAXAR TECHNOLOGIES, INC.; McLean (VA); On-site; USD 81,000 - 119,000; Full time

Benefits offered by this job

401(k) match

Mental health resources

Student loan repayment

Adoption reimbursement

Pet insurance

Job summary

Vantor is seeking an experienced Geospatial Analyst to manage, analyze, and QA geospatial data using ArcGIS Pro and QGIS, while transitioning to PostgreSQL/PostGIS.

Responsibilities include creating geometries, maintaining geodatabases, performing data migrations, and validating data accuracy. Collaboration with developers, DBAs, and stakeholders is essential, with a focus on quality and scalable processes.

Qualifications

• Bachelor's degree in Geography, GIS, Geospatial Science, Computer Science, Engineering, or a related technical field, or equivalent experience.
• Two or more years of professional GIS or geospatial data-management experience.
• Experience using ArcPro or another comparable desktop GIS application.
• Experience working with multiple geospatial data types, formats, and sources.
• Experience maintaining or updating geodatabases.
• Experience creating, editing, transforming, and validating spatial geometries.
• Experience with topology creation, maintenance, and validation.
• Experience managing geospatial attribution, schemas, domains, subtypes, and metadata.
• Experience performing data compatibility testing, quality control, and quality assurance.
• Experience developing or executing repeatable data-validation or quality-assessment procedures.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently while collaborating effectively within a multidisciplinary team.

Responsibilities

• Create, edit, update, and maintain geospatial data using ArcGIS Pro/QGIS.
• Work with a variety of geospatial data types and sources, including vector, raster, imagery, web services, and externally provided datasets.
• Maintain and update global geospatial datasets within enterprise geodatabases.
• Support the transition of geospatial data from Oracle to PostgreSQL/PostGIS.
• Create, modify, and validate spatial geometries, including points, lines, polygons, and other geometry types.
• Maintain spatial topology and identify, resolve, and document topology errors.
• Create, update, and validate feature attributes, domains, subtypes, schemas, and related metadata.
• Perform data transformations, migrations, conflation, and integration activities as required.
• Develop and execute data tests to evaluate compatibility with target systems, applications, schemas, and databases.
• Conduct data quality control and quality assurance reviews to identify errors, inconsistencies, missing information, invalid geometries, and attribution issues.
• Develop repeatable procedures for data validation, quality assessment, and error tracking.
• Perform spatial analysis and produce accurate, well-designed geospatial products.
• Troubleshoot data, database issues.
• Support the publication and maintenance of GIS services, web maps, and geodatabases.
• Document data sources, processing steps, validation procedures, identified issues, and corrective actions.
• Collaborate with developers, database administrators, project managers, system administrators, and mission stakeholders to resolve data and application issues.
• Stay current with relevant ArcGIS, QGIS, PostgreSQL/PostGIS, and geospatial data-management capabilities.

Education

Bachelor's degree in Geography, GIS, Geospatial Science, Computer Science, Engineering, or related field

Tools

ArcGIS Pro

QGIS

Oracle

PostgreSQL/PostGIS

ArcGIS Enterprise

Job description

Vantor is seeking an experienced Geospatial Analyst to manage, analyze, and QA geospatial data using ArcGIS Pro and QGIS, while transitioning to PostgreSQL/PostGIS.

Responsibilities include creating geometries, maintaining geodatabases, performing data migrations, and validating data accuracy. Collaboration with developers, DBAs, and stakeholders is essential, with a focus on quality and scalable processes.