Data Engineer Jobs in Sunnyvale, CA

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Senior Software Engineer, you'll design and build data models, APIs, and backend services for a complex datacenter infrastructure platform, while ensuring high performance and scalability.

Lead design and implementation of Zocdoc's data platform: define data contracts, ingestion/publishing frameworks, APIs/SDKs, schema governance, access controls (PHI/PII aware), reverse ETL patterns, and AI-consumable curated layers. Drive cross-functional standards, mentor engineers, and operationalize secure, compliant data access for analytics and product use cases.

The AV Site Engineer is responsible for designing, developing, and maintaining infrastructure for General Motors' AV projects, collaborating with teams, and supporting hardware systems.

The Staff Data Platform Software Engineer will design, improve, and maintain the Veza Access Graph system, focusing on performance, scalability, and collaborating on product features to enhance identity and access management experiences.

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

Design, build, and operate production ML signal systems—ranking, retrieval, recommendations, propensity, and next-best-action—covering feature/candidate generation, serving, experimentation, monitoring, and feedback. Define signal contracts (freshness, provenance, confidence), evaluate long-term impact (trust, fairness, compliance), and partner across product, data, and risk teams to deliver reusable customer-intelligence capabilities.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

As a Senior Associate in Audit and Assurance, you'll evaluate AI solutions, manage AI/ML controls, and enhance transparency in reporting. Responsibilities include data analysis for governance strategies, guiding compliance practices, and contributing to innovative thought leadership in AI governance.

Lead the design and implementation of enterprise AI/ML solutions, oversee project performance, mentor leaders, and ensure compliance with Responsible AI.

The role involves designing and implementing AI/ML solutions, leading teams, mentoring staff, and managing project delivery while ensuring client satisfaction.

Design and build scalable data ingestion pipelines and modernize Block's CDC platform while collaborating cross-functionally to ensure data flows reliably for analytics and ML initiatives.

Lead the architecture and evolution of Granica's distributed data systems, focusing on efficiency, platform reliability, and team mentorship. Collaborate with AI teams and contribute to research in data infrastructure.

The Data Engineer will design, develop, and maintain scalable data systems, focusing on AWS and big data technologies to support data-driven decision-making and ensure data security.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

As a Software Engineer III at GlossGenius, you will lead data engineering efforts, designing and implementing data models and pipelines while mentoring engineers and shaping the data platform's vision.

The Staff Business Systems Engineer will manage systems supporting Data Center operations, focusing on capacity planning, lifecycle management, integrations, and asset tracking across infrastructure and finance. Responsibilities include architecture design, data modeling, and ensuring operational compliance.