---
title: 'Data Engineer at Object Computing, Inc.'
canonical: 'https://feeny.ai/job/data-engineer-object-computing-inc-jzvrjd8ymyr5'
type: 'job'
last_seen: '2026-09-15'
---

# Data Engineer at Object Computing, Inc.

- **Company:** Object Computing, Inc.
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-04-03
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.lever.co/oci/15f1a689-870e-4335-ba00-a29a0d56d0c0

## Job description

Object Computing, Inc. (OCI)

OCI is seeking experienced Data Engineers to design, develop, and manage data infrastructure for internal and client projects within our AI/ML & Data Insights team.

## About OCI

We provide a collaborative environment focused on innovation, leveraging open-source software and strategic partnerships with Amazon and Google to build transformative technology solutions.

Job Responsibilities

- Design, build, and optimize large-scale data pipelines (Azure, AWS, GCP)
- Develop data ingestion and storage solutions.
- Implement scalable APIs and ensure system performance.
- Manage big data infrastructure and cloud deployments.
- Collaborate with developers, designers, and data scientists.
- Work in an Agile/DevOps environment.

Core Competencies

- ETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark).
- Proficiency in Go, Java, Python, or Scala.
- Proficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible).
- Hands-on experience with event-driven architectures (Kafka, Pulsar).
- Strong knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms.
- Experience with distributed computing, DevOps tools, and data governance.
- Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT.

## Preferred Qualifications

- Degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
- Experience with AI/ML-driven data solutions and real-time data processing.
- Expertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, QuickSight).
- Cloud certifications (Databricks, AWS, Azure, GCP).

## 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/)

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- [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)
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