Senior Data Engineer – Geospatial Focus

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New York / $65 - $80 hour

INFO

Salary
SALARY:

$65 - $80

Location

LOCATION

New York

Job Type
JOB TYPE

Contract

Senior Data Engineer - Geospatial Focus

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, production‑ready data systems.

You'll work closely with a highly collaborative, research‑driven 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 type‑safe Python environment
  • Design and optimize data models, with an emphasis on geospatial datasets and real‑estate-oriented data problems
  • Build and manage orchestration workflows (e.g., Prefect) to support scalable, reliable production systems
  • Work within a sprint-based process, delivering high‑quality, well‑tested 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 (data‑oriented 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 real‑estate or location‑based data products
  • Experience building systems for early‑stage 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

CONTACT

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