Geospatial Data Engineer

San Francisco, CA 94103

Posted: 06/30/2025 Job Number: 40907

Job Description

Job Title: Geospatial Data Engineer

Duties:
Design, build, and maintain the data pipelines that support global Public Policy efforts. This includes integrations between the client's data warehouse, 3rd party marketing and advocacy tools, and CRM.
Leverage multiple internal and external geospatial datasets to fulfill Public Policy needs ensuring consistent use of geographic definitions for metrics and cross-functional collaboration.
Contribute to the data and tooling strategy that continually evolves our tech stack through feedback and relationship building with the Policy team, Data Science and Biztech teams.
Represent Policy Comms in cross functional efforts with other technical counterparts in CRM, Data Engineering, Data Science, and Data Strategy. Collaborate with these teams to streamline our shared CRM's architecture, performance, and usability.
Identify and evaluate potential external geographic-centric data sources to enhance Policy work, in particular  legislative, census, tourism, and elected official data sets.
Collaborate with external data providers to develop scaled integrations of 3rd party data, with a focus on geospatial.
Support daily data management and quality enhancements, cleaning and ingesting static data sets used across Policy by centralizing in both data warehouse and in Salesforce and  the centralized data warehouse

Skills:
5+ years expertise in data architecture, infrastructure, or data 
5+ engineering
3+ years experience working with geospatial data
Expert in using  SQL to perform complex data transformations
Expert in building and maintaining data pipelines that transform data to be ingested into a CRM instance
Experience with geospatial data, software, sources, and practical applications
Experience using Python for geospatial applications and leveraging Python libraries to interact with JanusGraph or other graph database
Experience with OpenStreetMap, Precisely, and/or Wikidata location data and layering with business data Talent for breaking down complex technical concepts into common language and acting as a bridge between technical and departmental stakeholders
Experience working with complex and big data systems across a multitude of relationships and metrics.
Ability to apply a creative and nuanced perspective to look beyond common data indicators in order to meet business goals


Pay range is $63.97 - $68.97 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

This position comes with full benefits, including medical, dental, vision, life, 401k and more!

THE PROMISES WE MAKE:
At Crystal Equation, we empower people and advance technology initiatives by building trust.  Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start.  We will serve to empower you along the way and provide the path for your professional journey.

 

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About San Francisco, CA

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