Data Engineer

Cyvl builds an Infrastructure Intelligence Platform that turns raw LiDAR, imagery, and GPS data into geospatial deliverables city engineers can trust. This hybrid role is based in Somerville, MA (or remote from San Francisco, CA), and it combines production-grade data engineering with the impact of reliable geospatial processing.

Compensation: $125,000 to $195,000 per year. Experience required: 3+ years.

What you’ll build

• Design, build, and operate pipelines that move sensor data from ingest to client-ready geospatial outputs.
• Build and maintain a data platform so product, AI, and analytics teams can discover and use data quickly.
• Implement automated data quality checks and monitoring to detect issues before they reach customers.
• Partner with Data Operations and GIS teams to automate manual workflows and improve throughput.
• Improve cost and performance for large-scale processing on AWS.

How you’ll work

Cyvl captures LiDAR, imagery, and GPS data, then takes it through processing, AI inference, and QA to deliver trustworthy outputs. You will own systems end to end, from design through on-call, with a practical approach that keeps quality and reliability at the center.

Requirements

• 3+ years building production data pipelines or data platforms.
• Strong Python and SQL.
• Experience with cloud data infrastructure, with AWS preferred, plus workflow orchestration tools such as Airflow, Dagster, Prefect, or similar.
• Experience making large, messy datasets reliable.
• Comfort owning systems end to end, including on-call.

Tech you’ll likely work with

• Python, SQL, AWS
• Airflow, Dagster, Prefect
• PostGIS, GDAL, GeoParquet, H3
• Iceberg, Delta, DuckDB, Spark
• Docker, Kubernetes, Terraform

Benefits

• Equity
• Health, dental, and vision (Cyvl covers most of the premium for you and your family)
• 401k with a real match, vested day one
• Generous PTO & Paid Parental leave
• Learning stipend
• Paid to live close (monthly bonus for living near the Boston office)
• Team events

Values and collaboration

• Real: authentic and transparent, focused on solving real problems with simple, effective solutions
• All Out: bold, driven, committed to results that matter
• Accelerating: always learning, growing, and moving with intention
• Reliable: follow through and deliver at a consistently high bar
• Empowering: lift each other up and help governments build infrastructure they can be proud of

Nice to have

• Geospatial experience with PostGIS, GDAL, GeoParquet, H3, or other spatial indexing
• Sensor data experience: LiDAR point clouds, imagery, GPS/IMU
• Lakehouse formats and engines: Iceberg, Delta, DuckDB, Spark
• Docker, Kubernetes, and Terraform
• Supporting ML training and inference pipelines

On-site expectations: Cyvl is on-site in Somerville about 90% of the time. If you’re based in San Francisco, the role is remote with in-person time for onboarding, kick-offs, and key milestones.