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Senior Data Engineer Geospatial Focus
Harnham
- United States
- United States
À propos
About the Role
We are seeking a Senior Data Engineer (Contract) to help build and scale the ingestion, transformation, and orchestration layers for a new data product entering beta launch across multiple U.S. states. This role is ideal for an engineer with strong Python foundations, deep experience working with geospatial data, and a passion for building reliable, productionready data systems.
You'll work closely with a highly collaborative, researchdriven engineering team to design data models, develop pipelines, troubleshoot complex geospatial challenges, and ensure the platform is ready for its next phase of growth.
What You'll Do Develop, own, and maintain data ingestion and transformation pipelines in a typesafe Python environment Design and optimize data models, with an emphasis on geospatial datasets and realestate-oriented data problems Build and manage orchestration workflows (e.g., Prefect) to support scalable, reliable production systems Work within a sprint-based process, delivering highquality, welltested code Collaborate closely with a thoughtful, academically minded engineering team to solve complex data challenges Contribute to documentation, code reviews, and continuous improvement of engineering standards Required Skills & Experience
Core Technical Background
Strong Data Engineering experience Hands-on experience with:
Python (custom/bespoke codebases, not just notebooks or light scripting) Snowflake AWS (dataoriented cloud services) Workflow orchestration tools (e.g., Prefect, Dagster, Airflow, etc.)
Geospatial Expertise (Required)
Experience with geospatial data tools, libraries, formats, or platforms such as:
ArcGIS GeoPandas Apache Sedona PySpark GIS QGIS Shapefiles, raster/tiling systems, spatial joins, projections, coordinate systems, etc. Nice to Have
Experience with Machine Learning, feature engineering, or ML model pipelines Familiarity with realestate or locationbased data products Experience building systems for earlystage product launches Logistics
Flexible time zones;
mandatory standups M/W/F at 9:30 AM ET . 20 hours/week ramping to 40 hours/week within 2-3 months, continuing full-time for ~6 months. Hourly Rate: $65/hr - $80/hr
Compétences linguistiques
- English
Avis aux utilisateurs
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