15 results for Data Platform Engineer Jobs in Mountain View, CA, US

About AppLovinAppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.To ...

Responsible for designing, developing, and maintaining large-scale distributed systems, collaborating with engineering teams to tackle technological challenges, and influencing team members. Requires experience with Java or Scala and big data systems like Apache Spark.

Job DescriptionBe an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.As a Senior Lead Software Engineer at JPMorgan Chase within the Payments Technology team, you are an integral part of an agile team that works to en...

Responsible for building microservices using Rust, writing quality code, creating APIs for mobile apps, and working cross-functionally with teams to release customer-focused features. Adheres to agile processes and contributes to improving development practices.

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower c...

ResponsibilitiesAs a software engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on core systems in the data platform ecosystem. Your work will have a di...

The Apple Data Platform (ADP) group builds the data platform that enables the next generation of intelligent experiences on all Apple products and services. ADP empowers Apple engineers to deliver ML-driven products and innovations rapidly and at scale. We are looking for an experienced engineer who...

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.