Top Data Engineer Jobs in San Francisco, CA
As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.
As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
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Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.
Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.
Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.
The Freelance Director Level Strategic Consultant will support strategic consulting projects in the healthcare sector, developing and implementing initiatives that drive business growth for clients. This role involves working closely with the team and contributing expertise to overcome complex challenges.
The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.
The Senior Database Engineer will design, implement, and maintain database systems, optimize performance, ensure data security, and provide high availability solutions. Responsibilities include developing schemas, tuning databases, monitoring performance, and collaborating effectively with team members and stakeholders.
As a Senior Analytics Engineer, you will manage and evolve the data infrastructure primarily for finance, ensuring high data quality and availability. You will lead data projects, work with business and engineering teams, promote data-driven culture, and improve processes for analysis and reporting.
As a Data Engineer, you will maintain and optimize the data architecture by designing and implementing data platforms and pipelines, supporting migrations, troubleshooting issues, and ensuring compliance with regulations. You will also address stakeholder requirements and provide training support to staff members.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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