Top Data Engineer Jobs in San Francisco Bay Area
As a Senior Data Engineer, you will play an instrumental role in advancing our core machine learning solution. Your technical expertise and leadership skills will be leveraged to drive the development and deployment of high-quality, scalable data pipelines and products.
Looking for an experienced Data Engineer to enhance the team's capabilities in managing complex data workflows and integrating machine learning operations. Responsibilities include designing data pipelines, large-scale data processing, ETL processes, managing workflow automation, and collaborating with ML Engineers. Required qualifications include 3-5 years of experience, proficiency in Python and SQL with PySpark, experience with Airflow and Control-M, and proven track record in building scalable data solutions.
Build large, scalable platforms using cutting edge data technologies, define data assets, own data architecture, improve data quality, collaborate with cross-functional teams, design and launch data models, solve data integration problems, implement security model, participate in on-call rotations
Featured Jobs
Senior Machine Learning Modeler role at Cash App's Financial Crimes Technology team. Responsibilities include detecting and reporting illegal and suspicious activity, building classification models, leveraging diverse data sets, deploying AI solutions, and collaborating with cross-functional stakeholders. Requires 4+ years of ML modeling experience and a Bachelor's degree in a related technical field.
Responsible for defining and driving data governance within the Finance organization. Partnering with leaders and process owners to implement data policies and standards. Developing strategies to ensure data accuracy and quality through automation and maintenance of data dictionary.
Collaborate with Agile teams to design, develop, test, and support technical solutions using full-stack development tools and technologies. Share tech trends, experiment with new technologies, and mentor engineering community members. Deliver cloud-based solutions for financial empowerment. Conduct unit tests and code reviews to ensure performance efficiency.
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As a Business Intelligence Engineer, you will democratize data and drive data-obsessed decision making for all employees by building and managing Chime's Looker instance. Responsibilities include creating dashboards, presenting insights to stakeholders, building ETL workflows, and more. Requires 3+ years of BI engineering experience and expertise in Looker, MPP database technologies, and data pipelines.
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Seeking a Senior Machine Learning Engineering Manager to lead a team in creating and deploying cutting-edge machine learning models and algorithms. Responsible for AI modeling training, development of ML algorithms, and providing engineering support to accelerate AI feature development. Remote position based on the west coast of the United States.
The Sr. Data Engineer at Liftoff will be responsible for developing data solutions to meet business needs, integrating existing silo data, and building a master data platform. Responsibilities include designing data pipelines, data analysis, data enrichment, and optimizing database performance.
Design and build a foundation that strengthens Retool’s data culture at scale. Take on projects that solidify Retool’s reporting capabilities and help the company remain data-driven. Develop and scale ingestion infrastructure, optimize ETLs, and design data architecture for scale.
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