Data Engineer Jobs in San Jose, CA

The Software Engineer will manage data collection for AI model training at Speechify, optimizing cloud infrastructure and dataset quality.

Design, build, and maintain large-scale data pipelines and APIs for Ventura OS. Optimize data processing workflows, integrate ML models into production, ensure data quality and observability, and collaborate across teams to drive architecture and data infrastructure decisions for streaming and content recommendation use cases.

Design and build scalable, semantically consistent 360 entity data models and transformation pipelines. Implement cleansing, enrichment, KPIs, scoring, and business rules in SQL and Python/Scala, ensure data quality, lineage, and performance at scale. Use AI coding assistants and SDD to accelerate development, create tests and documentation, and collaborate with domain experts, data scientists, and product teams to deliver trusted, reusable data assets.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

Design, implement, automate, and operate Venmo data infrastructure and streaming platforms. Build scalable data pipelines, provisioning, monitoring, and message streaming solutions (AWS SQS, Kafka). Support databases/NoSQL, create large datasets, troubleshoot production issues, collaborate with product, engineering, and analytics teams, and deliver tools for data-driven insights.

The Senior Data Analysis Engineer will analyze autonomous driving product performance, improve testing efficiency, automate metric generation, and collaborate with engineering teams to enhance product quality and insights.

The Principal Software Engineer will develop backend systems using Rust or Go, debug integrations, manage middleware components, and optimize data flows while following SDLC practices and collaborating with teams.

Design and operate petabyte-scale end-to-end data pipelines for autonomous driving: onboard upload, cloud preprocessing, dataset production, and model training input. Build data cleaning, annotation QA, lineage, versioning, metadata management, and high-throughput distributed processing. Optimize I/O, memory, transmission, and containerized deployments; support cross-team collaboration and algorithm iteration.

The Sr Staff Engineer will architect and manage the data infrastructure, ensuring reliability and performance for data engineering and machine learning teams, while automating processes and monitoring systems.

Design and operate distributed inference systems for LLMs, build large-scale data pipelines, and debug production issues while collaborating with researchers and ML engineers.

The Senior Software Engineer will innovate in AI, lead software development lifecycle, design microservices, mentor peers, and ensure engineering excellence.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

The role involves leading developer relations for AI platforms, guiding partners on product integration, and fostering collaboration for ecosystem growth.

The Senior Full-Stack Engineer will design and maintain tools for robot configuration and operation, develop APIs, and collaborate with cross-functional teams.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

As a Senior Data Engineer, you will design, build, and maintain data pipelines and infrastructure, collaborating with teams to facilitate data-driven decisions.

The Senior Software Engineer will design, develop, and maintain data systems and APIs, utilizing big data technologies to support analytics and advertising workflows, while collaborating with cross-functional teams.

The Stack Data Analysis Engineer monitors and analyzes critical component data, develops engineering tools, and collaborates with teams to improve product yield and quality metrics.

As a Senior Software Engineer in Data Acquisition, you'll design and build scalable data ingestion pipelines, ensuring performance, quality, and governance across various data domains and ingestion patterns.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.