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Senior Geospatial Data Engineer

2 months ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Spark AWS Azure Deep Learning FastAPI Flask GCP Hadoop Kafka Machine Learning MapReduce OAuth Python REST API SQL
Apply Now
Object Computing

Object Computing

Object Computing is a women-owned technology consulting firm that specializes in designing, modernizing, and integrating mission-critical platforms and systems, while also providing software engineering services and customized training solutions to hel...

Internet Software & Services
251-1K
Founded 1993
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Description

  • Architect, design, and maintain scalable geospatial and big data data pipelines and infrastructure.
  • Lead ETL development for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.
  • Design and build API-driven service-to-service web services to support integration across products.
  • Collaborate with backend and platform engineers to ensure secure, reliable, and scalable communications between services.
  • Translate complex analytics and business questions into production-grade data solutions.
  • Work closely with data scientists, analysts, business stakeholders, and leadership to deliver high-impact data products.
  • Drive adoption and optimization of cloud-based data solutions across GCP, AWS, or Azure.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Mentor junior data engineers and provide technical guidance to team members.
  • Recommend and implement improvements to existing data infrastructure and software systems.

Requirements

  • Experience in software development, data engineering, or big data roles, preferably with geospatial data.
  • Experience building solutions with Python.
  • Experience with relational databases and SQL, including advanced querying, data extraction, and manipulation.
  • Experience architecting and optimizing cloud-based data solutions, preferably on GCP, AWS, or Azure.
  • Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka.
  • Experience integrating with API-driven, service-to-service web services.
  • Demonstrated ability to lead projects, mentor team members, and drive technical decisions.
  • Strong problem-solving, resourcefulness, and ability to work independently or collaboratively.
  • Excellent organizational, interpersonal, and communication skills.
  • Preferred: expertise with geospatial libraries and tools such as GDAL, PDAL, PostGIS, GeoPandas, or Shapely.
  • Preferred: experience deploying and scaling machine learning models in production.
  • Preferred: strong experience with geospatial analytics and data formats such as LAS, LAZ, COPC, GeoTIFF, or Shapefiles.
  • Preferred: experience leading teams integrating and scaling complex ML/DL algorithms.
  • Preferred: experience working with LiDAR data and deriving insights from point clouds.
  • Preferred: experience with ESRI products or other GIS platforms.
  • Preferred: experience with data streaming, real-time data processing, or cloud-native geospatial solutions.
  • Preferred: cloud certifications such as Google Cloud Professional Data Engineer or AWS Certified Data Analytics.
  • Preferred: experience with OAuth, authentication, and API key management for secure service-to-service communication.

Interested in this position?

Apply directly on the company website

Apply Now

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