Top Hybrid Data Engineering Jobs in San Francisco, CA

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

Lead transformation of Mastercard's enterprise data ecosystem. Define architecture of cloud-native data platforms, establish governance, and implement data engineering best practices.

Assist in developing and maintaining data processing pipelines, collaborating with teams to define requirements, and enhancing infrastructure for data sets.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

The Senior Data Engineer will build and scale data infrastructure, create data models, develop ingestion pipelines, and ensure data quality for drug development at Formation Bio.

Lead a team of data engineers and analysts, manage cross-functional data projects, and integrate insights to improve product and customer value.

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

The Senior Data Engineer will design data models, build and manage ETL pipelines, contribute to data governance, and explore integrations with AI. Responsibilities include collaboration with teams to ensure data quality and consistency.

The Senior Data Engineer will develop and maintain a high-quality data platform, implementing features, performing code reviews, and collaborating with teams to meet requirements.