As a GIS Data Engineer, you will build, maintain and improve spatial data processing pipelines that support map maintenance and geospatial data products. You will work with diverse spatial data sources to analyze changes, improve data quality and increase automation in map update workflows. This role combines strong GIS data engineering, spatial analytics and automation skills, with opportunities to apply AI/ML methods to scalable geospatial processing.
In this role, you will:
- Build and run geospatial data workflows: Independently develop, maintain, and execute complex data engineering processes for ingesting, transforming, validating, and comparing external spatial data used in map creation and maintenance.
- Apply GIS tools and programming: Use Python, SQL, FME, ArcGIS, QGIS, PostGIS, and related technologies to process, integrate, analyze, and improve geospatial datasets and workflows.
- Perform spatial analysis and resolve issues: Detect change, identify quality issues, investigate fallouts, and resolve problems in data conversion, bulk updates, and map content.
- Improve automation and efficiency: Design and implement automation for feature matching, attribute comparison, change detection, and coding workflows to increase scale and reduce manual effort
- Strengthen data quality and reliability: Implement validation, monitoring, alerts, and performance measures to improve data quality, traceability, and operational stability.
- Support applied AI/ML workflows: Contribute to practical AI/ML solutions such as classification, confidence scoring, anomaly detection, and prioritization in geospatial processing.
- Collaborate across teams: Partner with engineering, analytics, product, and operations teams to deliver scalable geospatial data solutions.
Who are you?
You are a motivated and curious GIS Data Engineer with a passion for data, automation, and emerging technologies. You combine strong analytical thinking with hands-on technical skills to design and operate scalable spatial data solutions in a cloud environment.
- Strong GIS data engineering and spatial analysis skills
- Proficiency in Python and SQL
- Experience with GIS/spatial tools such as ArcGIS, QGIS, FME, or PostGIS
- Engineering best practices (Git/GitLab, CI/CD, code reviews, documentation)
- Developing AWS knowledge (services such as Lambda, SNS, SQS, S3, etc)
- Experience with pipeline development, data validation, and quality control
- Familiarity with automation for scalable data processing
- Exposure to AI/ML or applied data science in geospatial use cases
- Strong problem-solving and cross-functional collaboration skills
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
Who are we?HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.
