Top Data Engineering Jobs in San Francisco, CA

Design, build, and maintain end-to-end data pipelines and models to support CX operations, compliance reporting, and customer insights. Partner with stakeholders to deliver self-serve analytics, dashboards, and trusted metrics while driving data quality, governance, and automation.

Design, build, and optimize modular dbt pipelines and technical schemas; translate business requirements into production-grade data models; optimize warehouse performance (Snowflake migration); enforce data quality and security; perform peer code reviews, mentor junior engineers, and adopt AI-assisted dev tools to accelerate testing and code discovery.

The Senior Data Engineer will develop and maintain end-to-end data pipelines, manage data integration, and work with varied data sources to enable analytics and drive customer success.

Client-facing Solutions Architect designing and delivering scalable cloud, data, and AI-enabled solutions. Lead end-to-end projects, advise clients on technology strategy, ensure scalable/resilient architectures, mentor teams, drive delivery using agile methods, and collaborate globally to translate business needs into practical data solutions.

Design, build, and operate privacy-first People data pipelines and models. Ingest and standardize HRIS/People systems, ensure data quality and observability, implement access controls, and deliver trusted datasets, dashboards, and self-serve products for People leaders and executive reporting.

The Manager, Data Engineering will lead the data engineering team, oversee data architecture projects, ensure data reliability, and foster a culture of learning.

Design, build, and optimize BigQuery-based data models and pipelines on Google Cloud. Implement SQL procedures, manage storage/partitioning, ensure data quality, collaborate with data scientists and engineers, document designs, and improve ETL and reporting workflows.

Lead design, build, and scale data automation pipelines, scrapers, APIs, and AI-assisted workflows for newsroom use. Identify and structure high-value public datasets, prototype AI-enabled tools, produce newsroom-ready outputs, troubleshoot systems, document workflows, and mentor journalists to improve automation and editorial impact.

Lead design and build of a new graph-backed enterprise data platform: architect ingestion, ETL/ELT pipelines, entity resolution, graph and relational storage, temporal models, governance, APIs, and containerized deployments. Partner with product and engineering to deliver production-ready graph traversal APIs, connectors, and platform roadmap.

Implement, QA, and document tag management across GTM, GA4, pixels, server-side pipelines and Shopify. Translate Figma designs into data layers, collaborate with engineering to ensure event parity, monitor pixel and server-side integrity, support A/B testing event piping, run monthly data audits, enforce consent via OneTrust, and maintain the centralized Solution Design Document.