Connecting food lovers with local restaurants
DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...
DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...
DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...
DoorDash USA • San Francisco, CA; Seattle, WA; Sunnyvale, CA
DoorDash is hiring a Staff Engineer for their Data Mobility Frameworks team to provide technical leadership in building a scalable analytics platform. You'll work with technologies like Apache Spark and AWS, focusing on data-driven solutions. This role requires expertise in high-scale systems and machine learning.
You have 5+ years of experience in software engineering, particularly in building and operating high-scale systems — you've successfully led projects from conception to deployment and understand the intricacies of data workflows. Your expertise in Python and Apache Spark allows you to create efficient data processing frameworks that support analytics and machine learning initiatives. You are familiar with cloud platforms like AWS, leveraging their capabilities to enhance system performance and reliability. You thrive in collaborative environments, working closely with data engineers and machine learning engineers to drive innovative solutions. Your leadership skills enable you to foster an engineering culture of excellence, mentoring junior engineers and promoting best practices in software development. You are excited about the potential of AI and are eager to integrate it into the products you build, continuously seeking ways to improve team productivity and system efficiency.
As a Staff Engineer on the Data Mobility Frameworks team, you will drive the vision and strategy for building frameworks that support the analytics workflows of a rapidly growing global business. You will lead technical discussions and decisions, ensuring that the frameworks you develop are scalable and reliable. Your role will involve collaborating with cross-functional teams to define requirements and translate them into technical specifications. You will also be responsible for implementing data quality assertions and declarative data transformations, ensuring that the data used for analytics is accurate and reliable. You will leverage your experience with machine learning to make the products you build work seamlessly with AI tools, enhancing their capabilities and performance. Additionally, you will mentor team members, helping them grow their skills and advance their careers within the organization. You will report to the Engineering Manager and contribute to the overall success of the Core Data Platform organization.
At DoorDash, we value our employees and offer a competitive salary along with comprehensive benefits. You will have the opportunity to work in a hybrid environment, balancing remote work with in-office collaboration in San Francisco, Seattle, or Sunnyvale. We encourage a culture of innovation and continuous learning, providing resources for professional development and growth. Join us in our mission to empower local economies and make a meaningful impact through data-driven solutions.
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