Data Operations Intern (Summer 2027)

About the role

CYVL is the Physical AI company turning street‑level capture into living intelligence that 500+ cities and towns use to see what’s out there, direct work, and fix problems before they fail. We believe in a future where infrastructure keeps up with society, and we’re a fast‑moving team in Boston building for the real world. If you believe technology’s highest calling is public good, come build with us. You’ll join the Data Operations team — the group that turns raw street‑level capture into the map layers 500+ cities rely on. Every day, sensor data from the field flows through our processing pipelines and comes out the other side as road conditions, sidewalk inventories, sign catalogs, and pavement scores. You’ll own pieces of that pipeline: running deliveries end to end, catching the data problems before a customer does, and writing the scripts that make the next delivery faster than the last.

Responsibilities

• Process customer deliveries end to end.
• Run geospatial data through our Python pipelines, validate the output, and publish the final layers to the Cyvl platform
• Build QC checks to review data automatically
• Investigate failed and stalled processing jobs in our AWS pipelines, find the root cause, and document the fix
• Automate recurring manual steps into repeatable scripts and runbooks, and measure the time saved
• Partner with engineering and customer success to turn field-reported issues into resolutions either by code fixes or process improvements

Qualifications

Required:

• Currently pursuing a degree in Computer Science, Data Science, or a related field
• Proficient in Python. Comfortable writing scripts that read, transform, and validate data
• Comfortable working in a terminal and with version control
• Available full-time for 10–12 weeks in Summer 2027, based in our Boston (Somerville) office

Nice to Have:

• GIS experience (QGIS or ArcGIS, and geospatial formats like GeoJSON, shapefiles, GeoPackage)
• Familiarity with cloud infrastructure, especially AWS
• SQL and experience querying real datasets
• Exposure to geospatial Python libraries (geopandas, shapely)
• Interest in civic infrastructure, transportation, or public-sector technology
• A knack for the business side. You think about how data drives decisions, and you're drawn to solving problems like “how do we track this better” or “how do we make this visible to the team”
• Experience building dashboards or aggregating data into something a non-technical person can act on

Skills

• Python scripting for data processing
• Terminal and version control (Git)
• Geospatial data handling (GeoJSON, shapefiles, GeoPackage)
• GIS software (QGIS, ArcGIS)
• Cloud infrastructure (AWS)
• SQL querying
• Geospatial Python libraries (geopandas, shapely)
• Dashboard creation / data aggregation for non-technical audiences

Schedule

Full‑time internship for 10–12 weeks in Summer 2027, based in Boston (Somerville) office.