Geospatial Engineer

Convergenz

McLean, VA

JOB DETAILS
LOCATION
McLean, VA
POSTED
12 days ago
Overview:
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. 
 
Responsibilities:
  • 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.

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 the Company

C

Convergenz

"An Opportunity to Help"

It started on day one. Convergenz, LLC began in July 2000, at what was fast evolving into the “Dot Com bust” and a rapid rise in unemployment. Our own customers were getting laid off en masse and sending us their resumes, desperate for work. Despite the recession that followed, little by little, we were able to successfully help find people opportunities; and as a company survive this difficult time in our economy. Over ten years later, our mission of connecting people with jobs has never seemed more important.

By the nature of the Staffing Industry, Convergenz is in a unique position to help, and positively affect peoples’ lives. For over a decade we have been able to assist professionals through historically turbulent times in the American economy. From the Dot-Com bubble, through the post 9/11 wave of layoffs, and the “Great Recession” of 2008—we have been able to offer help and resources to people who have needed access to new career opportunities. Whether it was making a major career change, or simply needing to be placed on a contract assignment to get through “right now”—we hope that we are able to help our consultants and clients through these times of uncertainty.

When we think of what sets us apart from our competition, we immediately come back to the fact that we have big company success but do it with a small company touch. Hands on, no red-tape, responsive to peoples’ needs, inquiries, and requests. In other words—Provide Great Service All the Time. When we founded Convergenz, we set out to build a firm that we would want to work for. Be a successful business – but do it the right way, in the boardroom and in the community.

Every day is an exercise in self-reflection —we look to get better, to learn, and grow. We set out to make a positive difference every day, and take pride in the results.
COMPANY SIZE
500 to 999 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
2000
WEBSITE
https://conv.com/