Job Details

Staff Software Engineer, Data Mobility Frameworks

San Francisco, CA; Seattle, WA; Sunnyvale, CA

About the Team

DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Core Data Platform org owns all the infrastructure necessary to run an operationally efficient analytical data stack. The Data Mobility Frameworks team within the core data platform aims to provide a scalable and reliable abstraction layer for data engineers and machine learning engineers to accomplish their analytics workflows.

Declarative data transformations, data quality assertions, metric cube computation and spark connectors to ML feature stores are some of the capabilities that the team enables.

About the Role

As a Staff Engineer in the Data Mobility Frameworks team, you will provide technical leadership to enable the vision of a cost effective, AI infused, self-serve analytics platform leveraging open source products strategically. Your focus extends to fostering an engineering culture of excellence, acting as a force multiplier to deliver reliable solutions at scale.

You must be located in San Francisco, Sunnyvale, or Seattle for this hybrid position. You will report into the Engineering Manager on our Data Mobility Frameworks team.

You're excited about this opportunity because you will…

• Drive vision & strategy for building the frameworks charter and position it to handle the challenges of a rapidly growing global business.
• Leverage AI to continuously improve team productivity. Make the products we build work well with AI tools.
• You will bring your expertise in building and operating high scale systems with a focus on reliability, scalability and cost efficiency.
• Collaborate with stakeholders building solutions on top of the platform, evangelizing and partnering with other teams effectively.
• Foster a positive and supportive work culture, upleveling others.

We're excited about you because…

• B.S., M.S., or PhD. in Computer Science or equivalent.
• 8+ years of industry experience.
• 2+ years of experience at the staff level, providing technical leadership to the team.
• Prior experience in Systems Engineering - you've built meaningful big data processing systems at scale, and have experience with big data compute engines such as Apache Spark and Apache Flink.
• Familiarity with Datalakes and table formats such as Delta Lake, Apache Iceberg.
• Familiarity with a cloud based environment such as AWS.
• Professional experience with at least one of the programming languages such as Java, Scala, Python or Go. Good knowledge of SQL.
• You are located or willing to relocate to the Bay Area or Seattle.

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

Benefits

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination

Statement of Non-Discrimination : In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non‑conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently‑abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.