254 results for Data Engineer Jobs in San Francisco, CA, US

As a Data Engineer, you will design and implement scalable data models, develop and maintain data pipelines, optimize data workflows for performance, collaborate with developers and business teams, support reporting and analytics, ensure data quality and governance, and troubleshoot complex data iss...

Utilize SQL and Python to engineer data pipelines, conduct analyses on data sets, build reporting dashboards, manage analytic tooling development processes, consult with business analysts, and interface with data engineering and product teams.

. Data Engineer with a specialisation in data governance, security, and analytics with a modern data architecture (this means on the cloud, FRB uses AWS)· Understanding of data privacy laws and regulations, such as GDPR or CCPA (we are not looking for HIPPA, which is not transferable to this project...

Job Title: Data EngineerLocation: Hybrid Schedule for San Francisco Office location (Work Remotely Monday-Friday)About Us:Flashii App is a premier boutique Staffing Firm dedicated to helping clients find exceptional candidates who make a difference. We provide comprehensive staffing solutions, inclu...

Diamond Foundry Inc. is solving the thermal limitation at the foundation of today's most exciting tech industries -- AI & cloud compute, electric-car power electronics, and 5G/6G wireless. We have managed to produce the world's first single-crystal diamond wafers and are now on a mission to put a di...

Design and optimize Apache Spark jobs, develop and deploy machine learning algorithms, manage data pipelines, and ensure integration with distributed systems. Collaborate with data teams to build scalable data services and REST APIs.

Responsibilities include developing, testing, and deploying data pipelines with SQL or Python, maintaining documentation of data flows, troubleshooting issues, collaborating with stakeholders for feedback, participating in code reviews, and supporting end users in reporting and analytics. The role i...

Lead the development and management of data analytics infrastructure, data lake, and data warehouse. Responsibilities include database architecture, data pipeline development, overseeing data storage, defining business metrics, implementing data quality checks, optimizing performance, collaborating ...

Responsible for designing and implementing long-term Data Platform Strategy, leading data engineering practices, mentoring engineers, collaborating with cross-functional teams, and managing data governance and quality control processes.

Your Role The Data Engineering development team is responsible for design, development, test and deployment of large enterprise data warehouse/BI data solutions using both on-prem and cloud technologies. The Data Engineer, Senior will report to the Manager, Data Engineering Development. In this role...