Geospatial Engineer

Geospatial Engineer

We are seeking a Geospatial Engineer to 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 pipelines, such as those built in ArcGIS Desktop or ArcGIS Enterprise into 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.

Contributions:

• 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, GDAL, GeoPandas, 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, serverless compute).
• Implement spatial data models and indexing strategies using databases such as PostGIS, SQL Server Spatial, BigQuery GIS, 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 and MLOps/AI teams to integrate geospatial features into analytics pipelines, feature stores, and ML models.
• Apply DevSecOps best practices to geospatial 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!

Qualifications:

• Ability to hold a position of public trust with the U.S. government.
• Bachelor's degree in Geographic Information Systems (GIS), Geospatial Engineering, Geography, Computer Science, Data Engineering, or a related field.
• 2-5 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, GDAL, GeoPandas, Rasterio, or similar libraries.
• Working knowledge of spatial databases such as PostGIS, 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, serverless compute, managed databases).
• Familiarity with geospatial web services and standards (WMS, WMTS, WFS, REST APIs, GeoJSON, 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 required):
• Esri Technical Certifications (ArcGIS Pro / Enterprise)
• AWS Cloud Practitioner or Data Analytics Specialty
• Azure Data Engineer Associate
• GCP Professional Data Engineer

About Steampunk

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 law. Steampunk participates in the E-Verify program.