Datapelago
DataPelago is seeking a Senior or Principal Data Processing Engineer to advance its universal data processing engine by integrating and enhancing open-source platforms like Apache Gluten, Velox, Apache Spark, and Apache Flink. The role involves architecting engine interfaces, designing performance enhancements, and contributing to the open-source community to drive product leadership. This position focuses on optimizing large-scale data processing across diverse infrastructures, including vectorized CPU and GPU environments.
Headquarters
Mountain View, California, United States
Company Size
11-50 employees
Founded
2022
DataPelago builds high-performance data processing software — including DataPelago Nucleus and the DataPelago Accelerator for Spark — designed to dramatically speed up Spark and other data workloads. Their universal data processing engine optimizes execution across modern data stacks, with published benchmarks comparing performance to alternatives like NVIDIA cuDF. DataPelago provides documentation, install guides, case studies, and a trust center to support enterprise deployment, security, and compliance. Customers use their tools to accelerate ETL, analytics, and ML pipelines while preserving compatibility with existing Spark-based workflows.
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 Datapelago.
Datapelago didn’t post a salary, so this is our estimate from similar listings.
23% above the average for this role