Object Computing

Senior Geospatial Data Engineer

Saint Louis, Missouri · Senior

Sponsorship not specifiedDetected 306 days ago

FastAPIFlaskAlgorithmsSQLAWSGCPAzureOAuthMachine LearningDeep LearningSparkData AnalysisData EngineeringSensorsGISCommunicationProblem Solving

About the role

Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team.
You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management.

Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience.
Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.
Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products.
Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication.
Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products.
Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure).
Proactively recommend and implement improvements to existing data infrastructure and software programs.
Experience building solutions with Python.
Demonstrated ability to lead projects, mentor team members, and drive technical decisions.

Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data.
Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation.
Experience architecting and optimizing cloud-based data solutions (preferably 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.
Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.
Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely).
Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).
Experience working with LiDAR data and deriving real-world insights from point clouds.
Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms.

Experience deploying and scaling machine learning (ML) models/algorithms in production.
Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms.

An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes.
What will make you stand out:

This listing is sourced directly from Object Computing's careers page and normalized into a canonical job model.