Remote Geospatial Data Engineer for Infra AI Pipelines

Cyvl, Inc.; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Health, dental, and vision insurance

401k with company match

Generous PTO & Paid Parental leave

Job summary

Cyvl is a Physical AI company building sensors, computer vision and AI for infrastructure. We are seeking a Data Engineer to design and scale pipelines behind our Infrastructure Intelligence Platform, processing raw sensor data into client-ready geospatial outputs.

You will own data pipelines end-to-end, optimize cost and performance on AWS, and collaborate with product, AI, and GIS teams. This role offers hybrid work with on-site collaboration in Somerville, MA and remote options from San

Qualifications

• 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.

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.

Skills

Python

SQL

Data pipelines

Cloud data infra

Workflow orchestration

End-to-end ownership

Tools

Airflow

Dagster

Prefect

Job description

Cyvl is a Physical AI company building sensors, computer vision and AI for infrastructure. We are seeking a Data Engineer to design and scale pipelines behind our Infrastructure Intelligence Platform, processing raw sensor data into client-ready geospatial outputs.

You will own data pipelines end-to-end, optimize cost and performance on AWS, and collaborate with product, AI, and GIS teams. This role offers hybrid work with on-site collaboration in Somerville, MA and remote options from San