Top Data & Analytics Jobs in San Francisco, CA

As a Senior Software Engineer in Data Engineering, you'll build scalable data pipelines, design schemas, ensure data quality, and collaborate with teams to produce insights, thus enhancing decision-making throughout the fintech sector.

Analyze complex data, develop business intelligence tools, dashboards, and metrics, and build data solutions for self-service analytics. Manage data quality, metadata, lineage, governance, security, and access controls. Partner with business and technology teams to deliver insights and improve data management. The role uses Python, R, Spark, SQL, Snowflake, AWS, and visualization tools.

Implement and monitor pricing strategies for consumer lending: translate strategy into system specs, collaborate with engineering, build validations and dashboards, maintain audit trails and governance, detect anomalies, support risk and partner integrations, and improve controls and execution processes.

Implement and monitor pricing strategies for consumer lending by translating strategy into system specifications, validating execution, building automated controls and Tableau dashboards, troubleshooting with engineering, and supporting risk management and partner integrations.

Twelve-week Data Engineer internship supporting Coinbase’s Platform product group. Responsibilities include building and maintaining data pipelines, developing scalable cloud-based infrastructure, integrating internal and external data sources, supporting analytical deep dives, documenting findings, and applying data governance, security, and performance optimization practices. The role uses Python, SQL, cloud platforms, and AI/API technologies while collaborating with senior engineers and cross-functional partners.

Designs, builds, and maintains scalable data pipelines, ETL workflows, and data products. Partners with analytics, product, and engineering teams to create reliable, testable, user-friendly data systems. Works on data modeling, cloud data platforms, CI/CD, observability, monitoring, performance optimization, and AI-enabled automation for data engineering.

The Senior Data Engineer will design, implement, and maintain data infrastructure and ETL pipelines, optimize data flow, and develop reporting solutions. They will collaborate with teams to enhance data quality and support data-driven decision-making.

Lead analysis and insights for sports titles, translate product and business needs into actionable metrics, build reports and visualizations, develop measurement methods, enable self-service analytics, mentor analysts, and liaise with stakeholders to recommend data collection and drive product/business improvements.

Contract Marketing Data Analyst to clean and rebuild marketing data models, integrate ad/analytics and conversation data into Snowflake, own dbt + Sigma layers and dashboards, implement quality-control/health monitoring, align GTM data models, and produce a plain-language data dictionary for team and LLM use.

Leads analytics and reporting for Microsoft’s Cloud Solutions Provider authorization ecosystem. The role develops actionable insights, evaluates business and operational data, improves data quality and governance, standardizes reusable self-service reporting, and drives AI and automation initiatives. It partners with engineering, AI, operations, and compliance teams to identify risks, improve program performance, support strategic decisions, and present findings to senior stakeholders.