---
title: 'Senior Geospatial Data Engineer at Object Computing, Inc.'
canonical: 'https://feeny.ai/job/senior-geospatial-data-engineer-object-computing-inc-saint-louis-a17jkvafscxb'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Geospatial Data Engineer at Object Computing, Inc.

- **Company:** Object Computing, Inc.
- **Location:** Saint Louis, MO
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-09-19
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/oci/7464d1a7-471b-4eb3-afa6-d24fc098f798

## Job 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.

What you will do:

- 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.
- Translate complex analytics and business questions into actionable, production-grade data solutions.
- 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).
- Ensure data quality, integrity, and security across all stages of the data lifecycle.
- Mentor and provide technical guidance to junior data engineers and team members.
- Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership.
- Proactively recommend and implement improvements to existing data infrastructure and software programs.
- Stay current with industry trends and emerging technologies in geospatial data engineering.

What you will bring:

- 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.
- Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data.
- Experience building solutions with Python.
- 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.
- Demonstrated ability to lead projects, mentor team members, and drive technical decisions.
- Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.
- Excellent organizational, interpersonal, and communication skills.

What will make you stand out:

- Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely).
- Experience deploying and scaling machine learning (ML) models/algorithms in production.
- Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).
- Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms.
- 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 with data streaming, real-time data processing, or cloud-native geospatial solutions.
- Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics).
- Experience with OAuth, authentication, and API key management for secure service-to-service communication.

## About Object Computing, Inc.

## Company Overview
- **One-liner**: A women-owned technology consulting firm that designs, modernizes, and connects mission-critical systems for enterprises in aerospace, defense, finance, healthcare, and other high-stakes industries.
- **Entity Type**: Private (bootstrapped, no disclosed funding)
- **Headquarters**: St. Louis, Missouri, United States
- **Founded**: 1993
- **Founders**: Not publicly disclosed

## Core Business
- Primary industries: IT Services and IT Consulting, with deep specialization in aerospace, defense, finance, gaming, transportation, and healthcare.
- Target customers: B2B – Fortune 2000 enterprises and government agencies that require reliable, secure, and scalable systems.
- Mission: “Engineer mission-critical systems for performance and agility” with a focus on open standards, knowledge transfer, and long-term client partnerships.

## Products & Services
OCI offers integrated service lines rather than named products. Each is a consulting engagement:

- **AI Solutions**: Design and build AI-powered systems, agentic workflows, and custom integrations for production environments – emphasizing observability, reliability, and governance at scale.
- **Application Modernization**: Modernize legacy systems using open-source software, maximizing interoperability, reuse, and scalability.
- **Data Engineering**: Transform scattered data into reliable insights via pre-built platforms, pipelines, and AI-augmented analytics for secure, regulated environments.
- **Experience Design**: Persona-driven research, AI-powered prototyping, and design craft to make complex domains intuitive and engaging.
- **Platform Engineering**: Developer experience, self-service infrastructure, and cloud strategies across AWS, Google Cloud, and Azure – built so clients stay in control.
- **Open Standards**: All work is architected for interoperability and reuse; no vendor lock-in.
- **Knowledge Transfer**: Every engagement ensures the client’s team deeply understands the system before handover – documented as “a formality, not a cliff.”

## Market Standing
- **Valuation/Market Cap**: Not disclosed (privately held)
- **Key Metric**: Annual revenue of approximately **$42.5 million** (estimated); **159 employees** (+1.8% YoY); **95% client retention** year over year.
- **Notable Clients/Partners**: Serves leaders across aerospace, defense, finance, gaming, transportation, and healthcare. Clients include Boeing, Mastercard, Bayer, and others (based on talent migration data).
- **Growth Signals**: 33 years in business; 230 organizations served globally; average engineer experience of 19 years; 5 active job postings (up 25% YoY); expanding geographies with employees in 18 countries.

## Competitive Advantages
- **Deep domain expertise**: Engineers average 19 years of experience, tackling the most complex, high-stakes systems.
- **Open standards philosophy**: Clients retain full control of their technology – no proprietary lock-in or forced dependencies.
- **Knowledge transfer built-in**: Engagements are designed so the client team achieves independence, earning a 95% retention rate.
- **Women-owned**: A diverse leadership structure (CEO Stefanie Thelen, Executive Chairman Gina Bremehr) that differentiates in government and enterprise procurement.
- **Proven reliability**: Trusted by sectors where failure is not an option – aerospace, defense, healthcare, finance.

## Strategic Focus
- **Convergence of data, AI, and modern software engineering**: Helping clients embed AI tooling, redesign engineering workflows, and build agentic, production-ready systems.
- **Platform and developer experience**: Investing in self-service infrastructure and cloud-native strategies to accelerate client delivery.
- **Talent and team growth**: Active hiring for senior engineers and data specialists, with a focus on knowledge transfer and long-term client partnerships.

## Why Work Here
- **Engineering culture**: Rated 4.1/5.0 for culture and 4.0/5.0 for career growth (49 reviews). Engineers are treated as skilled professionals, not “resources.”
- **Work environment**: On-site presence required for many roles (St. Louis, MO). Some roles may offer hybrid flexibility; current openings include “On Site” and “Onsite” positions.
- **Compensation**: Competitive – e.g., Senior Programmer Analyst ~$122k, Machine Learning Engineer ~$131k (as reported on LinkedIn).
- **Perks & highlights**: Work on truly mission-critical systems for top-tier clients; high level of autonomy and ownership; strong emphasis on continuous learning and open source contributions.
- **Stability**: 33-year track record, 95% client retention, and consistent growth provide long-term career stability.

## Sources
1. [Lever.co – Object Computing Careers](https://jobs.lever.co/oci)
2. [objectcomputing.com](https://objectcomputing.com/)
3. [linkedin.com/company/objectcomputing](https://linkedin.com/company/objectcomputing)
4. [objectcomputing.com/about-us](https://objectcomputing.com/about-us/)
5. [objectcomputing.com/who-we-are](https://objectcomputing.com/who-we-are/)

## Other roles at Object Computing, Inc.

- [Onsite DevOps Engineer (Linux Admin Focus)](https://feeny.ai/job/onsite-devops-engineer-linux-admin-focus-object-computing-inc-saint-louis-ac1xgh6yk4fa) — Saint Louis, MO
- [On Site - St. Louis MO - Senior Software Engineer](https://feeny.ai/job/on-site-st-louis-mo-senior-software-engineer-object-computing-inc-saint-louis-mwb8n8js6dc8) — Saint Louis, MO
- [Cloud Engineer](https://feeny.ai/job/cloud-engineer-object-computing-inc-reqye0h74jbm)
- [Data Engineer](https://feeny.ai/job/data-engineer-object-computing-inc-jzvrjd8ymyr5)
- [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-object-computing-inc-zmkwrp28tyjz)