Top Senior Data Engineer Jobs in San Francisco Bay Area, CA

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

The Staff Data Engineer will architect and operate the Databricks lakehouse, managing data ingestion, governance, and analytics collaboration with cross-functional teams.

Design, build, and maintain data pipelines while ensuring data quality and collaboration with data teams. Troubleshoot issues and improve performance.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

As a Senior Data Engineer, you will build data infrastructure, develop CI/CD pipelines, and create entity resolution systems, focusing on large-scale data processing and analytics.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.

As a Senior Data Engineer, you will build and maintain data pipelines, support analytics needs, and ensure data integrity for operations and reporting at Finix.

As a Data Engineer, you'll build data infrastructure for analytics, drive business growth strategies, and enhance personalized user experiences at Eight Sleep.

The Senior Data Engineer develops and maintains data pipelines, collaborates on scalable data solutions, and ensures data security via cloud services.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

The Senior Data Acquisition Engineer will develop web crawling technologies, enhance data quality, and collaborate on data product development.

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.

The Lead Data Engineer will onboard customers to the data warehouse, analyze data use cases, and implement improvements using modern cloud-native technologies. Responsibilities include collaborating with various teams, ensuring data quality, and automating processes for efficient analytics and infrastructure designs.

Own and evolve the data platform by leading architectural evolution, collaborating with teams for strategic data initiatives, and ensuring reliable data systems.

As a Senior Data Engineer, you will build and maintain data pipelines for analytics, collaborating with teams to implement data models and ensure data quality.

As a Senior Data Engineer, you will design and build data products, establish best practices, and lead technical initiatives in data architecture and workflows within the single-family rental industry.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.