---
title: 'Cloud Platform - Data Engineer at Lab37'
canonical: 'https://feeny.ai/job/cloud-platform-data-engineer-lab37-pittsburgh-8vjx4beq02t2'
type: 'job'
last_seen: '2026-09-08'
---

# Cloud Platform - Data Engineer at Lab37

- **Company:** Lab37
- **Location:** Pittsburgh, PA
- **Posted:** 2026-07-17
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/lab37/jobs/8635545002

## Job description

## Who we are

[Lab37 Robotics](https://www.lab37.us/), is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients.

## What you'll do

Take on ownership of the data and ML platform layer that powers Lab37's robotics fleet. This spans building ETL pipelines that turn raw robot telemetry into actionable analytics, managing the ML training infrastructure that produces the computer vision models running on our robots, and ensuring the observability and reliability of the entire data stack.

Work with a small, high-impact platform team to build the systems that every product team at Lab37 consumes — from data scientists training models, to kitchen operations teams viewing dashboards, to engineers deploying new ML models to robots in the field.

## Responsibilities

- Build and maintain ETL pipelines that ingest, validate, transform, and load robot telemetry data into BigQuery for analytics and ML training
- Manage ML training infrastructure using Argo Workflows on Kubernetes — from data extraction through model training, evaluation, and registration
- Design and maintain data quality checks and observability dashboards (the "glass panel" for data pipeline health)
- Own the data warehouse layer — schema design, incremental loading, dbt transforms, and BigQuery/Athena query optimization
- Build dashboard infrastructure (Superset, Grafana) that kitchen operations and leadership teams rely on for real-time insights
- Collaborate with data scientists to productionize model training pipelines — from notebook experiments to reproducible, automated workflows
- Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines for data and ML workloads
- Participate in on-call rotations for data pipeline reliability

## What we're looking for

- 2+ years in data engineering, ML infrastructure, or analytics engineering
- Strong experience with workflow orchestration tools (Argo Workflows, Airflow, Prefect, or similar)
- Python data stack proficiency — pandas, SQL, dbt, and comfort writing production-quality data pipelines
- Experience with cloud data services (BigQuery, Athena, S3, or GCP equivalents)
- Experience building or maintaining ML training pipelines (not just using them as a consumer)
- Docker containerization and Kubernetes basics
- SQL fluency — you'll write complex queries daily and care about query performance
- Familiarity with documentation tools and writing design documents

Desirable Skills

- ETL debugging, data quality frameworks, and anomaly detection
- Experience with hybrid cloud environments (AWS + GCP)
- Robotics or IoT data experience — understanding the challenges of real-world sensor data
- Experience with dbt for data transformations and warehouse modeling

## Why join us

- Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
- Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery.
- Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.

What else you need to know

This role is based in our Pittsburgh office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $130,000 - $164,500 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

- Medical, dental, and vision insurance (multiple plans, incl. HSA options).
- Company-paid life and disability insurance (short- and long-term).
- Voluntary insurance: accident, critical illness, hospital indemnity.
- Optional supplemental life insurance for self, spouse, and children.
- Pet insurance discount.
- 401(k).
- Health Savings Account (HSA)
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Time Off policies:
- Discretionary vacation days
- 8 paid holidays per year
- Paid sick time
- Paid Bereavement leave
- Paid Parental Leave

Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?

#LI-Onsite

## About Lab37

## Company Overview
- **One-liner**: Lab37 builds robotic kitchen systems that automate food assembly, starting with the Bowl Builder for makeline operations, to help restaurants reduce labor, increase throughput, and deliver consistent quality at scale.
- **Entity Type**: Private (subsidiary of City Storage Systems; no disclosed funding rounds)
- **Headquarters**: Warrendale, PA (near Pittsburgh, PA)
- **Founded**: 2005 (founding team formed at Carnegie Mellon's Robotics Institute, lab G37)
- **Founders**: Not publicly named (founding team from CMU Robotics Institute)

## Core Business
- Primary industry: Food robotics / kitchen automation / food service technology
- Target customers: B2B – restaurants, ghost kitchens, food businesses (enterprise and multi-location operators)
- Mission: "Use technology to improve the physical world in ways people can feel" and "build robots for better food" – making high-quality, affordable food accessible to everyone through automation.

## Products & Services
- **[Bowl Builder](https://www.lab37.us/)**: A robotic makeline system that automates the assembly of bowls and similar meals. It handles live order assembly from bowl dispense to bag close, adapts to customizations (adding/removing ingredients, allergens, portion adjustments), and claims up to 50% labor savings while doubling output. Type: Hardware (robotic kitchen equipment) with integrated software.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (subsidiary of City Storage Systems, a private holding company)
- **Key Metric**: Already deployed in commercial kitchens, serving thousands of customers weekly (as of June 2026)
- **Notable Investors/Partners**: City Storage Systems (parent company); sister companies include CloudKitchens, Otter, and Picnic. No external investors publicly listed.
- **Growth Signals**: Active hiring across multiple engineering roles; expanding from initial product (Bowl Builder) into broader kitchen ecosystem; rapid iteration capability (whiteboard to prototype in hours); real-world commercial deployments.

## Competitive Advantages
- **Full-stack R&D under one roof**: In-house fabrication shop, electrical engineering lab, testing facilities, and R&D kitchen enable rapid prototyping and iteration.
- **Ecosystem integration**: As part of City Storage Systems, Lab37 works alongside CloudKitchens (ghost kitchen infrastructure), Otter (restaurant tech), and Picnic (food automation) – creating a vertically integrated automation stack for food businesses.
- **Data-driven tuning**: Every gram, step, and variable is tracked and refined, allowing precision and consistency at scale.
- **Proven real-world impact**: Systems already operating in commercial kitchens, not just prototypes.

## Strategic Focus
- Scale Bowl Builder adoption across multi-location restaurant groups.
- Expand the kitchen ecosystem with additional robotic modules and software.
- Continue to reduce labor dependency and operational chaos for food businesses.
- Leverage data from real kitchens to improve automation algorithms.

## Why Work Here
- **Engineering freedom**: "Whiteboard to working prototype in hours" – engineers build, test, and iterate with their own hands in a maker's paradise (full fabrication shop, electrical lab, testing facilities).
- **Immediate impact**: Work is deployed in real kitchens serving thousands of customers weekly; employees see their work making a difference quickly.
- **Culture**: Described as a place where "culinary innovation meets world class engineering" – cross-disciplinary collaboration between robotics, software, hardware, and culinary teams.
- **Locations**: Warrendale, PA and Pittsburgh, PA (on-site roles). No explicit remote/hybrid policy stated.
- **Perks**: Not detailed publicly, but the facility includes a fully equipped R&D kitchen, modern fabrication shop, and engineering offices built for rapid innovation.

## Sources
1. [lab37.us](https://www.lab37.us/) – Main site with product and company overview
2. [lab37.us/careers](https://www.lab37.us/careers) – Careers page with culture and mission
3. [lab37.us/lab](https://www.lab37.us/lab) – Lab facilities and ecosystem description
4. [lab37.us/history-timeline](https://www.lab37.us/history-timeline) – Company history and founding story
5. [lab37.breezy.hr](https://lab37.breezy.hr/) – Job openings and locations

## Other roles at Lab37

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- [Software Quality Engineer](https://feeny.ai/job/software-quality-engineer-lab37-los-angeles-spj3yhsqkawj) — Los Angeles, CA
- [Cloud Platform - Developer Experience Engineer](https://feeny.ai/job/cloud-platform-developer-experience-engineer-lab37-pittsburgh-jrpg62hh7433) — Pittsburgh, PA
- [Construction Program Manager](https://feeny.ai/job/construction-program-manager-lab37-pittsburgh-8m0z2yw60mh9) — Pittsburgh, PA
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