Top Hybrid Data Engineering Jobs in San Francisco, CA

The People Analyst role focuses on building and owning technical foundations for People Analytics, including database design, data applications, and ML operations while collaborating with various teams.

As a Data Engineer at Promise, you'll design data architectures, automate workflows, enforce data quality, and support analytics, enabling data-driven decisions.

The Solutions Data Architect will guide customers in data warehouse initiatives, lead technical discussions, design architectures, and drive customer success from proof of concept to production.

The Bioinformatics Scientist will build production-grade bioinformatics workflows, develop algorithms, integrate cutting-edge tools, mentor teammates, and enhance scientific UX for researchers.

As the Distinguished Architect, you will lead the design and implementation of CloudZero's next-generation data platform, focusing on streaming architecture, data modeling, and optimizing query engines to enhance cost attribution and performance at scale.

Build and automate zero-config ingestion pipelines for major marketing and CRM platforms, transform third-party JSON into analytical schemas, map event data into unified identity/event streams, and integrate Martech data into the core ClickHouse/ML environment.

Design, build, and own robust batch and real-time data pipelines and golden datasets using SQL and Python. Ensure data quality, performance, schema design, and SLAs while partnering across engineering, product, and business teams. Advocate tooling and best practices, document datasets, and deliver reliable analytics infrastructure at petabyte scale.

As Data Engineering Lead, you'll own SuperDial's data platform, scaling the data warehouse and pipelines while leading analytics workflows to support product and operational insights.

Design and implement scalable data architectures, collaborate with teams to optimize data pipelines, develop data models, and ensure data governance and quality.

The Senior Manager, Statistical Programming leads programming activities for oncology compounds, ensuring timely deliverables and adherence to quality processes. This role requires developing SAS programs for ADaM data sets, tables, and figures, as well as managing a team of statistical programmers.