{"schemaVersion":"jobsearcher.job.v1","id":"44bcb2b383e32c95e2632c30","url":"https://jobsearcher.com/jobs/44bcb2b383e32c95e2632c30","canonicalUrl":"https://jobsearcher.com/jobs/44bcb2b383e32c95e2632c30","title":"Senior Geospatial Data Engineer","description":"Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets.\nWhat you will do:\nArchitect, 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.\nLead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.\nDesign, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products.\nCollaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication.\nTranslate complex analytics and business questions into actionable, production-grade data solutions.\nCollaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products.\nDrive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure).\nEnsure data quality, integrity, and security across all stages of the data lifecycle.\nMentor and provide technical guidance to junior data engineers and team members.\nCommunicate technical details and insights clearly to both technical and non-technical audiences, including leadership.\nProactively recommend and implement improvements to existing data infrastructure and software programs.\nStay current with industry trends and emerging technologies in geospatial data engineering.\nWhat you will bring:\nAn 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.\nExperience in software development, data engineering, or big data roles, preferably with a focus on geospatial data.\nExperience building solutions with Python.\nExperience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation.\nExperience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure).\nDeep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka.\nExperience integrating with API-driven, service-to-service web services.\nDemonstrated ability to lead projects, mentor team members, and drive technical decisions.\nStrong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.\nExcellent organizational, interpersonal, and communication skills.\nWhat will make you stand out:\nAvailability to work onsite in our St. Louis Office\nExpertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely).\nExperience deploying and scaling machine learning (ML) models/algorithms in production.\nStrong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).\nExperience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms.\nExperience working with LiDAR data and deriving real-world insights from point clouds.\nExperience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms.\nExperience with data streaming, real-time data processing, or cloud-native geospatial solutions.\nCloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics).\nExperience with OAuth, authentication, and API key management for secure service-to-service communication.","company":"Objectcomputinginc","rawCompany":"objectcomputinginc","city":"St Louis","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:21:16.972Z","occupations":[{"code":"15-1299.02","title":"Geographic Information Systems Technologists and Technicians","slug":"geographic-information-systems-technologists-and-technicians"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541370","title":"Surveying and Mapping (except Geophysical) Services","slug":"surveying-and-mapping-except-geophysical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Geospatial Data Engineer","description":"Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets.\nWhat you will do:\nArchitect, 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.\nLead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.\nDesign, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products.\nCollaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication.\nTranslate complex analytics and business questions into actionable, production-grade data solutions.\nCollaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products.\nDrive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure).\nEnsure data quality, integrity, and security across all stages of the data lifecycle.\nMentor and provide technical guidance to junior data engineers and team members.\nCommunicate technical details and insights clearly to both technical and non-technical audiences, including leadership.\nProactively recommend and implement improvements to existing data infrastructure and software programs.\nStay current with industry trends and emerging technologies in geospatial data engineering.\nWhat you will bring:\nAn 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.\nExperience in software development, data engineering, or big data roles, preferably with a focus on geospatial data.\nExperience building solutions with Python.\nExperience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation.\nExperience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure).\nDeep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka.\nExperience integrating with API-driven, service-to-service web services.\nDemonstrated ability to lead projects, mentor team members, and drive technical decisions.\nStrong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.\nExcellent organizational, interpersonal, and communication skills.\nWhat will make you stand out:\nAvailability to work onsite in our St. Louis Office\nExpertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely).\nExperience deploying and scaling machine learning (ML) models/algorithms in production.\nStrong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).\nExperience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms.\nExperience working with LiDAR data and deriving real-world insights from point clouds.\nExperience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms.\nExperience with data streaming, real-time data processing, or cloud-native geospatial solutions.\nCloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics).\nExperience with OAuth, authentication, and API key management for secure service-to-service communication.","datePosted":"2026-04-14T10:21:16.972Z","dateModified":"2026-04-14T10:21:16.972Z","hiringOrganization":{"@type":"Organization","name":"Objectcomputinginc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"St Louis","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"44bcb2b383e32c95e2632c30"},"url":"https://jobsearcher.com/jobs/44bcb2b383e32c95e2632c30"}}