Top Healthtech Data Engineering Jobs in San Francisco, CA

The Data & Analytics Lead will define and build the data layer and analytics function, own data modeling and analytics, and mentor a team within a fast-paced AI-forward environment.

Lead design, development, validation, and deployment of scalable NGS bioinformatics workflows for regulated diagnostics. Drive assay study design, ML/statistical evaluation, regulatory compliance, documentation, and mentor junior team members.

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

The ETL Architect is responsible for designing ETL architectures, development, and implementation of data models and warehousing solutions, with a focus on data quality and transformation logic.

The VP of Data will lead the data organization encompassing engineering and analytics, drive strategic insights, improve operational excellence, and integrate AI into workflows while ensuring data governance.

Design, build, and optimize ETL pipelines and data workflows. Collaborate with teams to translate requirements into data solutions, ensuring data quality and efficiency.

The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.

The Principal Data Engineer will lead the design and implementation of scalable streaming data pipelines, optimize real-time data solutions, mentor team members, and advance modernization efforts in data engineering practices.

The Data Integration Engineer will manage data integrations and ETL processes for healthcare data, ensuring accuracy and accessibility for business users.

As a Senior Data Engineer, you will design and optimize data pipelines, enhance system efficiency, and collaborate with teams to drive health outcomes using large healthcare datasets.