Data Engineer
US$125,000 – US$195,000 / yr base salary
Posted 29 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$125,000 – US$195,000 / yr |
|---|
ABOUT CYVL
The best infrastructure is invisible. You only notice it when it fails. For decades, the people responsible for our roads, bridges and sidewalks have been asked to manage the physical world with tools that can't see it.
Cyvl is the Physical AI company changing that. We build purpose-built sensors, computer vision and AI that turn every drive into current data: what exists, where it is and what condition it's in. 500+ cities and towns use our Infrastructure Intelligence Platform to direct the work and fix problems before they fail. 1 in 30 Americans drive on roads managed with Cyvl data.
The proof isn't a dashboard. It's a smoother commute, a safer walk to school and public dollars going where they matter most. We're a fast-moving team in Boston building hardware, software and AI for the real world. If you believe technology's highest calling is public good, come build with us.
THE ROLE
Every Cyvl drive captures LiDAR, imagery, and GPS data that has to become something a city engineer can trust. As a Data Engineer, you'll build and scale the pipelines and data platform behind our Infrastructure Intelligence Platform, taking raw sensor data through processing, AI inference, and QA to client-ready geospatial deliverables. Your work sets how fast we deliver, what it costs, and how much customers trust the numbers. This role is based in Somerville, MA, or remote from San Francisco, CA.
WHAT YOU'LL DO
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Design, build, and operate pipelines that move sensor data from ingest to client-ready geospatial outputs.
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Build and maintain our data platform so product, AI, and analytics teams can find and use data fast.
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Build automated data quality checks and monitoring that catch problems before customers do.
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Partner with Data Operations and GIS teams to automate manual workflows and increase throughput.
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Improve the cost and performance of processing at scale on AWS.
WHAT YOU BRING
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3+ years building production data pipelines or data platforms
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Strong Python and SQL
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Experience with cloud data infrastructure (AWS preferred) and workflow orchestration (Airflow, Dagster, Prefect, or similar)
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Experience making large, messy datasets reliable
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Comfort owning systems end to end, from design through on-call
NICE TO HAVE
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Geospatial data experience (PostGIS, GDAL, GeoParquet, H3 or other spatial indexing)