Top Data Engineering Jobs in San Francisco, CA

Lead the strategy, architecture, governance, and evolution of Zscaler’s enterprise data platform. Manage a central data team, enable self-service and Data Mesh architectures, build Snowflake and dbt-based pipelines, and embed AI, RAG, observability, cost optimization, and AIOps into analytics operations. The role requires hands-on technical execution, team leadership, cross-functional collaboration, and continuous evaluation of modern data technologies.

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.

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.

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.

Implement, QA, and document analytics tags across GTM, GA4, performance pixels, experimentation and server-side pipelines. Translate Figma designs into data-layer specs, collaborate with engineers to ensure tracking parity across web, app and Shopify, maintain pixel integrity for ad optimization, support server-side syncing, run monthly data audits, enforce consent with OneTrust, and contribute to QA and solution design documentation.

The Data Mining Engineer will work on proprietary trading technology, focused on enhancing data mining processes for trading strategies and market analysis.

As a Data Mining Engineer at Belvedere Trading, you will assist in analyzing and extracting valuable insights from large datasets to inform trading strategies, enhancing decision-making and operational efficiency.

As a Data Mining Engineer, you will enhance trading strategies through data analysis and algorithm development to optimize market-making activities.

The Data Mining Engineer role involves leveraging statistical analysis and data mining techniques to analyze complex datasets and support trading decisions.

The Data Mining Engineer will develop and implement data mining techniques, analyze market data, and support trading strategies at Belvedere Trading.