Top Data Engineer Jobs in San Francisco Bay Area, CA

As the Senior Data Engineer for Enrichment, you'll design data pipelines, maintain contact datasets, ensure data quality, and optimize vendor relationships while working with a talented team.

As a Senior Data Analytics Engineer, you will build and manage data pipelines, support AI/ML initiatives, and ensure data reliability and accessibility within the organization.

You will design, build, and scale core data systems for Boulevard, collaborating with cross-functional teams to create high-quality data solutions and ensure data reliability.

Lead the design and implementation of complex database and BigData solutions across AWS and private cloud while managing global teams and optimizing database performance.

The Senior Data Engineer will build scalable data pipelines, ensure data quality, optimize ETL processes, and collaborate with stakeholders to enhance data infrastructure and analytics applications.

Design, build, and maintain scalable data pipelines and platform tools; define canonical data models; deploy and operate workflow managers (Airflow/Jenkins); work with cloud data tools (Redshift, EMR) and infra (Kubernetes, Terraform); implement data security controls; mentor junior engineers and collaborate with data scientists, analysts, and product teams.

The Senior Data Engineer will build scalable data pipelines, optimize Snowflake data warehouses, and enable reporting via Power BI while collaborating with stakeholders.

As a Senior Data Engineer, you'll build and maintain reliable data ingestion pipelines, ensure data quality and performance, and oversee data readiness for features, using technologies like ClickHouse and Rails.

The Senior Data Engineer designs and implements data solutions for higher education, mentors teams, and guides product evolution by translating complex problems into actionable analytics.

The Senior Data Engineer designs and implements data architectures, storage, and analytics platforms, focusing on cloud migration and scalable solutions.

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

The Staff Data Engineer will design and maintain data systems, streamline workflow for Data Analytics and Machine Learning teams, and ensure data pipelines are efficient and reliable. Responsibilities also include driving large projects, collaborating across teams, mentoring, and supporting the company's strategy.

The Senior Staff Data Engineer at SmithRx will define technical vision, improve data engineering efficiencies, and enhance data governance while mentoring other engineers and leading cross-functional collaborations.

The Data Solutions Engineer designs and operates scalable data pipelines using Azure tools, ensuring data quality and efficient analytics for BI Development.

Develop and enhance data solutions in healthcare, lead projects, analyze business needs, provide ETL support, and mentor junior staff.

Design and maintain scalable data pipelines, ensuring accurate delivery and governance of data across the organization while collaborating with cross-functional teams.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

The Data & AI Platform Engineer will design and maintain data pipelines, ensure data accuracy, collaborate with various teams, and optimize AI/data infrastructure.

The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

As a Senior Data Analytics Engineer at Envoy, you will develop the Intelligence Platform, guide product strategy, support ML workflows, and ensure engineering rigor while mentoring team members.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

The Senior Data Engineer will design and optimize data infrastructures and pipelines, lead projects, mentor juniors, and enforce best practices.