Job Listing - GeoSpatial Data Engineer in Houston, Texas

CrackaJack Digital Solutions

Houston, Texas

Deadline

Jul 21, 2025

Job Title: Big Data Engineer (GeoSpatial)
Location: Houston, TX
Duration:- 6-12 Months

Key Responsibilities

Design and implement scalable big data architectures using Hadoop, Spark, or other distributed processing frameworks.
Ingest, store, and manage large volumes of structured and unstructured geospatial data from various sources (e.g., satellite, drone, IoT, APIs).
Optimize geospatial data storage using formats like GeoParquet, GeoJSON, and PostGIS-enabled databases.
Develop and maintain ETL/ELT pipelines with a focus on spatial data enrichment, transformation, and aggregation.
Work with GIS tools and libraries such as GDAL, GeoPandas, Shapely, or QGIS.
Collaborate with data scientists and analysts to support spatial modeling, analytics, and visualization.
Implement data quality checks, lineage tracking, and metadata management for geospatial datasets.
Ensure the performance, scalability, and reliability of geospatial data pipelines in production environments.

Requirements
Technical Skills

Proficiency in distributed computing frameworks (e.g., Apache Spark, Hadoop, Kafka).
Strong programming skills in Python, Scala, or Java.
Experience with spatial databases like PostGIS, GeoMesa, or GeoSpark.
Familiarity with GIS tools and spatial data formats (e.g., GeoTIFF, KML, shapefiles).
Cloud platform experience (AWS, Azure, or GCP), especially services like S3, EMR, or BigQuery with geospatial capabilities.
Understanding of geospatial concepts: coordinate systems, map projections, spatial indexing (R-tree, QuadTree), etc.

HOW TO APPLY

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THANK YOU!