Cloud Platform - Data Engineer at Lab37
Warrendale, PA
$130,000–$164,500from the description
Jul 21, 2026
Warrendale, PA
Jul 22, 2026
What this job asks for AI summary
A data and ML infrastructure role at a food robotics company, responsible for building and maintaining ETL pipelines that process robot telemetry into a BigQuery data warehouse, managing ML training workflows on Kubernetes, and operating the dashboards and observability tooling that internal teams depend on. Suited to someone with hands-on data engineering or ML infrastructure experience who is comfortable owning production pipelines end to end.
Mid level · 2+ years · Pittsburgh, PA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 8 people in the Pittsburgh, PA area plausibly meet what this posting asks for (data scientists). range 2–15
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $98,796 (middle half $74,401–$130,048). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role sits at the intersection of data/ML infrastructure engineering and data warehouse architecture — the primary day-to-day work (ETL pipelines, BigQuery warehouse design, dbt transforms, ML training orchestration) maps most closely to 15-1243 Database Architects, but the volume of software-engineering work (Kubernetes, Terraform, CI/CD, production Python) makes 15-1252 Software Developers a credible alternative.
Warrendale, PA is a suburb north of Pittsburgh; the Pittsburgh-New Castle-Weirton CBSA (38300) is used.
The 'Desirable Skills' section lists ETL debugging/data quality frameworks, hybrid cloud (AWS + GCP), robotics/IoT data experience, and dbt — dbt also appears in the required section, so it is marked required there; the remaining desirable items are marked preferred.
Terraform and CI/CD appear in the responsibilities narrative rather than the explicit requirements list, so they are marked preferred.
Superset and Grafana appear in the responsibilities section as tools the candidate will build dashboards with, but are not listed under the requirements block — marked preferred.
S3 and GCP appear in the required cloud-services bullet ('BigQuery, Athena, S3, or GCP equivalents') as part of a required capability; they are captured as required alongside BigQuery/Athena.
The posting title is bare ('Data & ML Platform Engineer' implied from context) with no explicit seniority level; the title states no level. The 2+ years requirement and scope support a Mid-level classification.
Read the full posting
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