Top Lead Data Engineer Jobs in San Francisco, CA

As a Lead Data Engineer, you will design and maintain data platforms, oversee data ingestion pipelines, enforce standards, collaborate on solutions, and ensure best practices in healthcare data operations.

The Lead Data Engineer/Architect designs and implements GCP solutions, focusing on data pipelines, architecture, and leadership in a client-facing role.

The Senior Lead Data Engineer will architect and maintain ELT pipelines, manage data infrastructure, optimize SQL queries, and mentor teammates.

As Lead Data Engineer, you will design and build Benepass's data infrastructure, partner with teams to deliver data capabilities, and set the vision for data engineering. You'll ensure data governance and manage pipelines in an AWS environment while preparing for future team growth.

Lead Data & AI Engineer responsible for architecting and implementing intelligent analytics for a surveillance cloud platform, requiring strong skills in data pipelines, AI model management, and modern cloud technologies.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Design and maintain high-scale data infrastructure, build ETL pipelines, integrate data sources, optimize performance, and collaborate with data scientists.

The Lead Data Engineer will onboard customers to the data warehouse, analyze data use cases, and implement improvements using modern cloud-native technologies. Responsibilities include collaborating with various teams, ensuring data quality, and automating processes for efficient analytics and infrastructure designs.

The Lead Data Engineer will design and build scalable data pipelines and infrastructure for trading analytics, overseeing data architecture and collaborating with cross-functional teams.

Lead Glean's engineering team in building and scaling enterprise data management systems, collaborating on product initiatives and delivering robust solutions.

The Lead Data Engineer will own the data platform, ensuring data quality, optimizing infrastructure, mentoring engineers, and collaborating with teams to create scalable data solutions.

Lead the data strategy at Edmentum by designing scalable data pipelines, optimizing data systems, and mentoring junior engineers while ensuring compliance with data governance policies.

The Lead, Data Engineer leads the data engineering team, designing scalable data solutions, mentoring staff, and ensuring data quality while collaborating with stakeholders to meet business goals.

Lead the design and development of data integration solutions and APIs, ensuring performance and security. Oversee software lifecycle, mentor juniors, and contribute to code reviews while resolving complex technical issues.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

Lead the backend API team, architect large-scale data systems, ensure reliable API performance, mentor engineers, and drive engineering best practices.

Lead Data Engineer responsible for architecting, scaling, and optimizing data pipelines to support Tidal's ETF platform, ensuring high-performance data delivery and collaboration with cross-functional teams.

The Lead Data/ML Engineer will design and maintain scalable data pipelines and AI systems, ensuring data reliability and collaboration with product teams.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

As a Staff Engineer and Team Lead, you will architect scalable backend systems, mentor engineers, and ensure high-quality code for Alpaca's market data suite.

Join Recorded Future's Talent Network as a Data Engineer, focusing on Python, ETL pipelines, and web scraping. Stay updated for future opportunities.

The role involves designing and implementing software solutions for data integration and building scalable data platforms. Responsibilities include enhancing data systems and promoting software engineering best practices.