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© All Rights Reserved. ApplyBlast.com
NetApp
DataPelago is seeking a Senior or Principal Data Processing Optimization Engineer to advance planner and optimization capabilities for its universal data processing engine. This role focuses on delivering performance and cost reduction for open-source SQL and Python processing engines running on CPU and GPU infrastructure. The position involves integrating acceleration capabilities with frameworks like Apache Spark and Flink while ensuring product performance in customer environments. The engineer will provide technical leadership, define product features, and mentor junior team members.
Headquarters
San Jose, California, United States
Company Size
10001+ employees
Founded
1992
NetApp is an enterprise data storage and data management company that delivers hardware, software, and cloud services to store, protect, and move data across on‑premises and public cloud environments. Its flagship ONTAP software powers flash and hybrid storage systems (AFF, FAS) and cloud-native offerings to provide high performance, efficiency, replication, and tiering. NetApp also provides data protection, ransomware resilience, and orchestration tools, with deep integrations to major clouds (AWS, Azure, Google Cloud) to support modern applications, analytics, and AI workloads. Organizations choose NetApp for scalable, interoperable solutions that simplify data mobility, governance, and cost optimization.
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 NetApp.
NetApp didn’t post a salary, so this is our estimate from similar listings.