Top Staff Data Engineer Jobs in San Francisco
Join GRAIL as a Staff Data Engineer to support data needs in clinical and research activities, enhance data infrastructure, and contribute to early cancer detection efforts. Collaborate on data infrastructure, tools, and automation to streamline operations and ensure high standards of quality, compliance, and privacy.
The Staff Data Engineer at Square Banking will work on building a Financial Data Mesh Platform using real-time Big Data technologies. Responsibilities include designing data processing systems, building core datasets, addressing data quality issues, and collaborating with cross-functional teams to accelerate decision-making processes.
Join GRAIL as a Staff Data Engineer to support data needs for clinical and research activities. Leverage automation and data engineering expertise to enhance data infrastructure and contribute to early cancer detection efforts. Hybrid role in Menlo Park, CA headquarters.
The Staff Data Engineer at Thumbtack will be responsible for developing and building the vision of incorporating data more fully into marketing, designing and modeling datasets, collaborating with cross-functional teams, and mentoring engineers. They will drive data quality, maintain core marketing datasets, and help build the next generation of marketing data products.
The Square Banking team is looking for a Staff Data Engineer to help build their Financial Data Mesh Platform using real-time Big Data technologies. Responsibilities include designing large-scale data processing systems, building core datasets, addressing data quality issues, and staying up to date with emerging technologies.
GoodRx is looking for a Sr. Data Engineer II to work on building data pipelines and processes, collaborating with teams to guide business decisions, and making smart engineering decisions based on data auditing. The role involves improving infrastructure scalability, efficiency, and reliability.
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As a Senior Data Engineer at Taskrabbit, you will work on high impact projects to improve data availability and quality, manage data pipelines, conduct data analysis, and communicate data strategies to internal teams. You will also be responsible for building infrastructure for data extraction, transformation, and loading.
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.
Featured Jobs
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.
Data Engineer role at Dropbox responsible for building next-generation Financial data pipelines, curating Gold datasets, and providing data for Growth and Monetization. Requires strong foundation in test-driven development and building scalable data pipelines.
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.
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
GoodRx is looking for a Data Engineer III who will collaborate with various teams to build data pipelines and processes using cloud technologies. The role involves developing and maintaining data processing pipelines, analyzing large datasets, and making data-driven decisions.
As a Senior Data Engineer at Calm, you will work with various data sources to help stakeholders create products and answer business questions. Responsibilities include working with business stakeholders, standardizing data approaches, evangelizing data-driven decision making, ensuring data quality, collaborating on data models, and mentoring data engineers. Past projects include setting up reporting systems, creating user-level feature stores, remodeling critical data pipelines, and integrating data warehouse with third-party applications. Ideal candidates have proficiency in SQL, experience with data pipelines and modeling, and the ability to translate business requirements into technical solutions.
GoodRx is seeking a Principal Data Engineer with extensive experience in data engineering on distributed frameworks and cloud technologies. The role involves leading the design and development of enhanced data pipeline services, collaborating with cross-functional teams, and architecting cloud-based data infrastructure solutions.
GoodRx is hiring a Principal Data Engineer to lead the design and development of enhanced data pipeline services, collaborate with teams to build data pipelines, mentor team members, and architect cloud-based data infrastructure solutions.
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 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.
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.
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.
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.
Senior Data Engineer at Discord focusing on marketing solutions and advertising products. Responsible for building and maintaining data pipelines, datasets, and analytical tools to optimize advertising products and strategies.
Develop and maintain end-to-end data pipelines, backend ingestion, and participate in building Samsara's Data Platform for advanced automation and analytics. Work with various data sources including CRM and product data. Join a critical team within Business Technology focused on enabling integrated data layers and data-driven decision-making.
The Sr. Data Engineer at iCloud will engineer efficient and scalable data pipelines, own rich datasets on iCloud products, and drive the improvement of Apple's products through data solutions. The role involves working with distributed data technologies and collaborating with cross-functional teams to deliver high-quality outcomes.
The Data Architect will be responsible for developing a cohesive data architecture that supports the organization's long-term vision. They will collaborate with internal departments to define the strategic data architecture vision, establish guidelines and processes, implement security measures, oversee data migration processes, and drive continuous data transformation. The Data Architect will also provide thought leadership, conduct architectural reviews, and communicate the data architectural direction to executives.
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