16 results for Data Platform Engineer Jobs in San Jose, CA, US

Design, develop, and optimize high-performance OLTP platforms and distributed data systems. Provide technical guidance, review production code, and influence product design decisions. Collaborate with teams to deploy databases in cloud environments and maintain data pipelines for real-time transacti...

Responsible for designing and building data processing infrastructure, developing foundational data models and processing pipelines, collaborating with machine learning and data science teams, and managing data governance and orchestration platforms.

Contribute to the open-source Apache Pinot software by building real-time database internals, optimizing query engines, managing data ingestion and storage, and creating automation tools for self-service. Responsible for developing scalable, low latency, distributed systems.

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Responsible for developing and managing a distributed data processing platform, focusing on technologies like Apache Kafka, Spark, Flink, and Trino. Tasks include designing core functionalities for data ingestion and processing, optimizing real-time processing technologies, ensuring platform availab...

Responsible for developing and managing a distributed data processing platform, focusing on data ingestion and processing, optimizing transport layer technologies like Kafka for real-time processing, and ensuring the data platform's availability and reliability.