Geospatial Engineer

• Develop, maintain, and optimize data pipelines for ingesting, cleaning, and transforming federal datasets (Census, BLS, CDC, etc.)

• Perform advanced web scraping and data extraction using Python

• Work extensively with Census data (Decennial and ACS) at all geographic levels (national, state, county, tract, block group, etc.)

• Integrate, analyze, and visualize geospatial data using PostGIS, ArcGIS Pro, and other GIS platforms

• Create and maintain comprehensive data descriptions and metadata

• Document data sources, update schedules, and transformation processes Implement and enforce data documentation standards

• Regularly update and maintain datasets to ensure accuracy and consistency

• Manage code repositories and version control using Git and GitHub

• Collaborate with analysts, data scientists, and stakeholders to deliver actionable insights

• Document workflows, processes, and best practices for both data engineering and data management

The Team

Deloitte’s Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

The Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve.

Our team is looking for a detail-oriented Data Engineer with strong Python and web scraping skills, deep experience working with federal datasets (Census, BLS, CDC), and hands-on expertise in geospatial and cloud technologies. In addition to core engineering duties, this role includes responsibilities for data stewardship, ensuring datasets are thoroughly described, documented, and consistently updated. All code and documentation are managed via GitHub., Required:

• Bachelor’s degree

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

• 2+ years of experience processing large data sets

• Experience with Geospatial and people data

• Experience with ArcGIS, QGIS and/or GDAL