Top Senior Level Data Engineer Jobs in San Francisco Bay Area

The Senior Machine Learning Engineer II at Cruise is responsible for researching, developing, and optimizing machine learning algorithms for self-driving vehicles. The role involves being a technical leader, guiding technology choices, balancing tradeoffs, and enabling team members through effective design and code.

As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning engineers and data scientists. You will lead projects, collaborate with teams, and tackle complex challenges. The role requires 5+ years of experience and fluency in Java, Kotlin, and Python.

Lead a team of developers in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools and technologies. Collaborate with product managers, data analysts, and data scientists to deliver cloud-based data solutions. Provide technical and people leadership to drive sound and well-managed solutions in a fast-paced organization. Assist in defining and executing the data strategy vision.

Design and implement data warehouse, construct data pipelines, empower users to explore data, lead QA initiatives, optimize data processes, offer technical recommendations, collaborate with team members.

As the Head of Data at Square, responsible for leading Data Science, Analytics, Machine Learning, and Data Engineering teams, driving strategic direction, ensuring data governance, fostering a culture of agility and innovation, and delivering impactful insights to drive business performance.

Join Hims & Hers Health as a Senior Data Engineer to architect and develop data pipelines, maintain scalable infrastructure, design data processing pipelines, support analytics engineers and machine learning teams, and ensure data compliance and security policies.

Lead Data Engineer responsible for designing and elevating metrics for consumer-facing search, recommendations, promotions, and messaging experiences at Disney Entertainment & ESPN Technology. Work with engineering teams to ensure data availability, build workflows, analyze complex datasets, and drive success for streaming applications like Disney+, Hulu, ESPN+, and Star+.