Data Engineer
Apache Airflow
Big Data
Bigdata
Cloud
Cloud Infrastructure
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Lake
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Database
Databases
DevOps
DevSecOps
Duckdb
Engineering
Engineering Software
ETL
Geospatial Data Engineer
Informatica
Information Technology (IT)
Infrastructure
Infrastructure As Code
Kubernetes
Platform Engineering
Spark
SQL
Job Description
Cyvl is seeking a Data Engineer to build and scale the pipelines and data platform that transform raw LiDAR, imagery, and GPS inputs into client-ready geospatial deliverables. The role emphasizes production data engineering, automated data quality, and cost and performance improvements on AWS.
Role Overview
Every Cyvl drive captures LiDAR, imagery, and GPS data that must become trustworthy outputs for city engineering teams. As a Data Engineer, you will develop the data infrastructure behind Cyvl’s Infrastructure Intelligence Platform, taking sensor data through processing, AI inference, and QA, and delivering reliable geospatial results for clients.
Location
- Somerville, MA (hybrid)
- Remote option for candidates based in San Francisco, CA, with in-person time in Somerville for key moments
Compensation
- Salary: USD 125,000 - 195,000 per year
- Equity: included
Key Responsibilities
- 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 locate and use data quickly.
- Create automated data quality checks and monitoring to detect issues before customers are impacted.
- Partner with Data Operations and GIS teams to automate manual workflows and increase throughput.
- Improve cost and performance for large-scale processing 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.
Technologies
- 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 and Paid Parental leave
- Learning stipend
- Paid to live close (monthly bonus for living near the Boston office)
- Team events
Nice to Have
- Geospatial data experience (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.
- Experience supporting ML training and inference pipelines.
About the Team
- High ownership and fast iteration, with the understanding that some bets will not land.
- On-site presence in Somerville is expected about 90% of the time.
- Cyvl emphasizes values including Real, All Out, Accelerating, Reliable, and Empowering.
Examples of Work
- How Atlanta cut downtown potholes by 60%
- How Buffalo turned a campaign promise into a paving plan
- How to rebuild US infrastructure smarter
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