About the role

Data Engineer building core data infrastructure at CoLab for product strategy and insights. Collaborating cross-functionally to transform and process critical data sets.

Responsibilities

Design and build the end-to-end data platform at CoLab—starting with internal product, customer, and business data.
Connect tools like Mixpanel, Pendo, Salesforce, HubSpot, and our product infrastructure into a unified environment.
Use AWS services (Glue, S3, Athena, Redshift Serverless) to build scalable ETL pipelines.
Own and manage data transformation, cataloging, and processing workflows.
Work with CloudOps to inherit foundational infrastructure, then extend and configure it for production use.
Collaborate with stakeholders across RevOps, Finance, Product, and Engineering to understand what data they need—and make it accessible.
Build and maintain clean data layers and support Tableau-based dashboards and reporting tools.
Contribute to automation and ops where it makes data flows more reliable or scalable.
Own data quality, structure, and lineage—this is your domain.

7+ years of experience in data engineering or related technical roles
Experience building AWS-based data pipelines using tools like S3, Glue, Redshift, Athena
Proficiency in Python, SQL, and ETL orchestration
Strong analytical thinking and comfort working across business and technical contexts
Familiarity with tools like Airbyte, 5Tran, or other data integration platforms (nice to have)
Experience working with modern BI tools (e.g., Tableau)
Ability to work independently and bring structure to ambiguous environments