Data Operations Intern (Summer 2027)

Boston, Massachusettsinternship

On Site

entry

H1B: no

Cyvl Data Operations Intern at Cyvl responsible for processing geospatial data through Python pipelines and ensuring data quality for 500+ cities. The role involves automating data workflows and collaborating with engineering and customer success teams to improve data delivery.

Responsibilities

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 as road conditions, sidewalk inventories, sign catalogs, and pavement scores. You'll own pieces of that pipeline: running deliveries end to end, catching data problems before a customer does, and writing the scripts that make the next delivery faster than the last.
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 that 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 code fixes or process improvements.
Currently pursuing a degree in Computer Science, Data Science, or a related field
Proficiency in Python; comfortable writing scripts that read, transform, and validate data
Comfort working in a terminal and with version control
Available full-time for 10-12 weeks in Summer 2027, based in our Somerville office

Qualification

Proficient in PythonGIS experience (QGIS or ArcGISFamiliarity with cloud infrastructureInterest in civic infrastructureA knack for the business sideHard tech

Required

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.
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

Preferred

GIS experience (QGIS or ArcGIS, and 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 like problems like "how do we track this better" or "how do we make this visible to the team"
Experience building dashboards or turning data into something a non-technical person can act on
Hard tech. Real streets. Your name on it.

Benefits

Vision

Company

Cyvl

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Source: ashby

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Must-Have Skills for This Role

PythonAWSGISQGISArcGISGeoJSON

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