Top Hybrid Data Engineer Jobs in San Francisco, CA
The Machine Learning Engineer will be part of Cash App's Risk ML team, working on identity verification and fraud detection using machine learning methods and systems. Responsibilities include reducing inauthentic identities, mitigating risk/fraud for the Cash Card product, and collaborating with cross-functional teams.
As a Senior Business Intelligence Engineer at Cash App, you will create and optimize data models for Customer Support, build frameworks for ETL reliability, mentor team members, and promote data best practices. You will work with a variety of technologies to enable impactful business decisions through data architecture and dashboarding.
As a Senior Business Intelligence Engineer at Cash App, you will work on creating and optimizing data models, building pipelines, and promoting data best practices. The role requires 5+ years of experience in building complex ETLs and proficiency in SQL, Airflow, and Python.
Seeking a Principal Data Scientist with strong engineering skills to drive ML and AI capabilities across multiple teams. Responsibilities include hands-on development work, tech leadership, mentoring, and driving technical standards. Requires 8+ years of impactful experience in ML and AI implementation, deep hands-on experience with data products and infrastructure, and expertise in major technologies like Airflow, DBT, AWS, etc.
Leading the Data Analytics team within the risk analytics function of a next-generation financial services company. Developing and implementing a comprehensive data analytics strategy aligned with risk management objectives and providing insights to support risk oversight and decision-making.
Hiring Senior Machine Learning Engineers to join the ML Platform team. Responsible for building a scalable Machine Learning platform.
Featured Jobs
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define AI strategy, implement use cases, build predictive models, and teach business teams how to leverage them for decision-making.
As a Senior or Lead Big Data DevOps Engineer, responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments. Drive efficiency improvements, lead architecture and design efforts, ensure availability and reliability of infrastructure, and build operational tools. Evaluate, design, and deploy monitoring tools and practices. On-call support of production systems.
Build, optimize, and deploy machine learning models for identity resolution and ads attribution. Collaborate with cross-functional teams and stay up-to-date with the latest technology. Strong understanding of machine learning approaches and algorithms.
Seeking a Data Engineer with a focus on Clinical Pipeline to transform raw data into insights, maintain data integrity, and develop data solutions. Responsibilities include developing data workflows, data visualization tools, system implementation, and ensuring data quality. Must have a BS/MS in a quantitative field with 3+ years of experience and proficiency in Python, R, and SQL.
Collaborate with cross-functional teams to build data pipelines and processes. Lead projects, develop and maintain data processing pipelines using cloud technologies. Architect cloud-based data pipeline solutions to meet stakeholder needs. Analyze large data sets for insights and product solutions.
Support the design, development, implementation, monitoring, and maintenance of data management systems at Upgrade. Contribute to maximizing DBMS performance, scalability, resilience, security, and data integrity. Administer production OLTP RDBMS on PostgreSQL, backup & recovery, upgrade, patching, and performance tuning. Have advanced knowledge of SQL query execution, indexing strategies, RDBMS replication, and Linux fundamentals. Strong troubleshooting and communication skills are a plus.
Design and build ML architectures and data pipelines for large-scale data repositories. Work on Clari's AI models and platform. Collaborate with stakeholders to deliver enterprise products. Fully remote opportunity in the United States.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
.png)
All Filters
No Results
No Results
