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About the Role
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.
Responsibilities
- Design, build, and operate pipelines that move sensor data from ingest to client-ready geospatial outputs.
- Build and maintain our data platform so product, AI, and analytics teams can find and use data fast.
- Build automated data quality checks and monitoring that catch problems before customers do.
- Partner with Data Operations and GIS teams to automate manual workflows and increase throughput.
- Improve the cost and performance of processing at scale on AWS.
Requirements
- 3+ years building production data pipelines or data platforms
- Strong Python and SQL
- Experience with cloud data infrastructure (AWS preferred) and workflow orchestration (Airflow, Dagster, Prefect, or similar)
- Experience making large, messy datasets reliable
- Comfort owning systems end to end, from design through on-call
- Geospatial data experience (PostGIS, GDAL, GeoParquet, H3 or other spatial indexing)
- Sensor data: LiDAR point clouds, imagery, GPS/IMU
- Lakehouse formats and engines (Iceberg, Delta, DuckDB, Spark)
- Docker, Kubernetes, and Terraform
- Supporting ML training and inference pipelines
- Cross lanes. "Not my job" doesn't exist here.
- Own without a playbook. The plan is still being written, often by you.
- Try, miss, try again. We make big bets. Some won't land, and we learn fast.
- Be in the room. We're on-site in Somerville about 90% of the time. If you're based in San Francisco, this role is remote, and you'll be with the team in Somerville for the moments that matter like onboarding, kick-offs, and milestones.
Skills
- Python
- SQL
- AWS
- Airflow
- Dagster
- Prefect
- PostGIS
- GDAL
- GeoParquet
- H3
- Iceberg
- Delta
- DuckDB
- Spark
- Docker
- Kubernetes
- Terraform
Location
- Somerville, MA
- Remote from San Francisco, CA
Work Type
- On-site (Somerville)
- Remote (San Francisco)
Experience Level
- 3+ years
Benefits
- Equity
- Health, dental, and vision
- 401k with a real match, vested day one
- Generous PTO & Paid Parental leave
- Learning stipend
- Paid to live close
- Team events
About the Company
- The best infrastructure is invisible. You only notice it when it fails.
- 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.
Equal Opportunity
- We build for every community, so we hire from all of them. The best people for this work come from different backgrounds, paths, and places, and many of them don't check every box. If this role excites you, apply anyway. If you need an adjustment to our interview process, tell us and we'll make it work.