Geospatial Engineer

We are seeking aGeospatial Engineerto design build and modernize geospatial data pipelines and services that support mission-critical analytics mapping and spatial decision-support applications. This role focuses on engineering scalable cloud-native geospatial workflows and re-architecting legacy GIS pipelinessuch as those built in ArcGIS Desktop or ArcGIS Enterpriseinto modern cloud platforms. The Geospatial Engineer will work closely with data engineers cloud engineers application teams and mission stakeholders to ensure geospatial data is reliable performant and accessible for analytics AI/ML and operational use cases.

• Design and implement end-to-end geospatial data pipelines for ingesting transforming and serving vector raster and spatiotemporal datasets in cloud environments.
• Modernize and re-architect legacy GIS workflows built in ArcGIS Desktop ArcGIS Pro or ArcGIS Enterprise into cloud-native or hybrid architectures.
• Build geospatial ETL/ELT workflows using tools such as ArcGIS Data Interoperability FME GDALGeoPandas or custom Python pipelines.
• Leverage cloud-native services (AWS Azure or GCP) to store process and serve geospatial data at scale (e.g. object storage managed databases serverlesscompute).
• Implement spatial data models and indexing strategies using databases such asPostGIS SQL Server SpatialBigQueryGIS or Azure SQL Spatial.
• Develop automated workflows for geospatial data validation reprojection tiling generalization and performance optimization.
• Support geospatial APIs map services and data products used by web applications dashboards and analytic platforms.
• Collaborate with Data Engineers andMLOps/AI teams to integrate geospatial features into analytics pipelines feature stores and ML models.
• ApplyDevSecOpsbest practicestogeospatial pipelines including CI/CD infrastructure-as-code monitoring logging and secure access controls.
• Troubleshoot performance bottlenecks and data quality issues in large or complex spatial datasets.
• Document geospatial architectures pipelines schemas and operational runbooks to support maintainability and reuse.
• Stay current with modern GIS cloud geospatial services and open-source spatial tooling to continuously improve delivery practices.
• You will contribute to the growth of our AI & Data Exploitation Practice!

• Ability to hold a position of public trust with the U.S. government.
• Bachelors degree in Geographic Information Systems (GIS) Geospatial Engineering Geography Computer Science Data Engineering ora relatedfield.
• 25 years of experience working with geospatial data GIS systems or spatial data pipelines.
• Hands-on experience with Esri ArcGIS products (ArcGIS Pro ArcGIS Enterprise ArcGIS Online) and familiarity with their data models and services.
• Experience building or modernizing geospatial pipelines using Python GDALGeoPandasRasterio or similar libraries.
• Working knowledge of spatial databases such asPostGIS SQL Server Spatial Oracle Spatial or cloud-native spatial services.
• Experience with at least one cloud platform (AWS Azure or GCP) and related data services (object storage serverlesscompute managed databases).
• Familiarity with geospatial web services and standards (WMS WMTS WFS REST APIsGeoJSON STAC).
• Understanding of coordinate systems projections spatial indexing and performance considerations for large spatial datasets.
• Experience with containerization CI/CD pipelines or infrastructure-as-code is a plus.
• Strong problem-solving skills and ability to collaborate across engineering analytics and mission teams.
• Preferred certifications (helpful but not):
  • Esri Technical Certifications (ArcGIS Pro / Enterprise)
  • AWS Cloud Practitioner or Data Analytics Specialty
  • Azure Data Engineer Associate
  • GCP Professional Data Engineer

Identity Statement

As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry bringing new thinking to clients in the Homeland Federal Civilian Health and DoD sectors. Through our Human-Centered delivery methodology we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company we focus on investing in our employees to enable them to do the greatest work of their careers and rewarding them for outstanding contributions to our growth. If you want to learn more about our story visit .

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability status protected veteran status or any other characteristic protected by participates in the E-Verify program.