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# Data Engineer With Demographic and Geospatial Data Experience

- **Company:** CLIENT TECHNOLOGY SOLUTIONS LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Apache HTTP Server, Automation of Tests, Big Data, Code Review, Continuous Integration, Data Deduplication, Python (Programming Language), Operational Databases, Reference Data, Standard Sql, Apache Spark, Software Troubleshooting, Git, Data Lakes, Pyspark, Databricks
- **Published:** October 10, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/55960A9BC164F1FA08

## About the Role

* Strong Databricks, Python, PySpark and SQL skills, with hands-on experience developing and supporting production data pipelines processing large datasets.
 * Experience with Delta Lake, batch and incremental ingestion, schema management, merge logic, deduplication and maintaining historical records without losing the meaning of effective dates.
 * Practical geospatial data engineering experience working with points, polygons, spatial joins, geometry validation and geographic aggregation.
 * Understanding of coordinate reference systems, including British National Grid and WGS84, coordinate transformation, distance units and the limitations of postcode centroids for precise location analysis.
 * Experience with a scalable Spark spatial approach, such as supported native Databricks spatial functions or Apache Sedona. Able to select tooling compatible with the deployed runtime and workload.
 * Ability to ingest and transform spatial formats such as GeoJSON, WKT/WKB and Shapefile or GeoParquet, alongside tabular reference files.
 * Experience joining demographic or other record-level data to geographic reference data, handling unmatched and multiple matches, and controlling changes to lookup versions and boundaries.
 * Strong data quality and reconciliation skills, including tests that identify record multiplication, missing mappings and incorrect geographic assignments.
 * Experience with Git, CI/CD, code review, automated testing, job monitoring and performance troubleshooting. Able to document assumptions and explain data issues clearly to analysts and data owners