Capgemitecp3
This role involves designing, building, and maintaining data pipelines and ETL processes using Databricks and Apache Spark to optimize workflows for performance and scalability. The position requires implementing data Lakehouse architecture, managing data ingestion, and ensuring data quality, governance, and security across all assets. The engineer will collaborate with data scientists and analysts to enable advanced analytics and machine learning workloads while integrating Databricks with cloud services.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Capgemitecp3.
Capgemitecp3 didn’t post a salary, so this is our estimate from similar listings.
13% below the average for this role