Top Data Engineer Jobs in San Francisco Bay Area
Develop and improve machine learning models for customer support experiences, utilizing state-of-the-art algorithms and large language models. Collaborate with cross-functional teams to meet business needs and monitor model performance for continuous improvement.
This is a senior-level machine learning engineer role focused on modeling for underwriting and credit. The role involves building and integrating ML solutions for evaluating customer cash flow risk and optimizing automated decisioning using AI/ML techniques. The engineer will work cross-functionally with finance, product, and engineering teams to bring solutions into production.
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As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system and model architectures, conducting model evaluations, and applying AI/ML to improve Atlassian products.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning engineers and data scientists. You will lead projects, collaborate with teams, and tackle complex challenges. The role requires 5+ years of experience and fluency in Java, Kotlin, and Python.
Design equitable and competitive compensation programs. Base pay ranges from $165,500 to $265,800. Additional benefits such as bonuses, commissions, and equity may be provided.
The Senior Machine Learning Engineer II at Cruise is responsible for researching, developing, and optimizing machine learning algorithms for self-driving vehicles. The role involves being a technical leader, guiding technology choices, balancing tradeoffs, and enabling team members through effective design and code.
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As a Professional Services Solution Architect, you will oversee client projects, develop reports and dashboards, manage a team of developers, provide training, and ensure client success in utilizing business intelligence tools like Power BI. You will work in a SaaS environment with a diverse client base and play a key role in driving business decisions through data analysis.
GoodRx is seeking a Data Engineer II to collaborate with cross-functional teams in developing and maintaining data pipelines using cloud technologies. Responsibilities include defining data specifications, deploying data processing pipelines, and analyzing large datasets. The ideal candidate has 2+ years of experience in cloud data spaces and engineering data pipelines with big data technologies.
GoodRx is looking for a Data Engineer II to collaborate with teams in building data pipelines, processing large datasets, and guiding business decisions using cloud technologies like AWS and Databricks. Responsibilities include defining data requirements, managing data sets, and enhancing data infrastructure. Key qualifications include 2+ years of experience in cloud data spaces, engineering data pipelines, strong SQL skills, and familiarity with AWS services.
GoodRx is looking for a Data Engineer III to collaborate with teams and build data pipelines using cloud technology to guide business decisions. Responsibilities include defining requirements, developing data processing pipelines, managing data sets, and making data-driven decisions. Strong SQL and ETL experience required.
Lead a team of developers in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools and technologies. Collaborate with product managers, data analysts, and data scientists to deliver cloud-based data solutions. Provide technical and people leadership to drive sound and well-managed solutions in a fast-paced organization. Assist in defining and executing the data strategy vision.
Collaborate with Agile teams to design, develop, test, and support technical solutions using Java, Scala, Python, and Cloud data warehousing services. Drive transformation within Capital One and deliver cloud-based solutions for financial empowerment.
Seeking a Senior Manager, Data Engineering at Capital One Software to lead a team in developing technical solutions using Java, Scala, Python, and cloud-based data warehousing services. Responsibilities include collaborating with Agile teams, providing technical and people leadership, and driving major transformation within the company.
As a Director in the Products & Technology Risk and Quality team at PwC, you will be responsible for managing technology and data risks, regulatory compliance, and leading a team to solve complex business issues. The role requires strong analytical, critical thinking, and communication skills.
Director role in Products & Technology Risk and Quality team at PwC. Responsible for managing technology and data risks, regulatory compliance, and developing strategies to drive business growth. Requires strong leadership, communication, and critical thinking skills.
Join Hims & Hers Health as a Senior Data Engineer to architect and develop data pipelines, maintain scalable infrastructure, design data processing pipelines, support analytics engineers and machine learning teams, and ensure data compliance and security policies.
The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with client teams, and researching and evaluating new technologies.
Collect detailed requirements and direct development of enterprise data-management and business-intelligence solutions for clients in various industries. Lead development in multiple technology platforms and create solutions to deliver analytic products through dashboards, web applications, and data products.
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