Software Engineer, Data Mobility Frameworks

Software Engineer, Data Mobility Frameworks

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

Door Dash 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 compute framework layer capable of processing trillions of data points per day.

This framework is essential for enabling timely business‑critical decision‑making, facilitating rapid experimentation, and supporting the training and deployment of ML/AI models for real‑time personalization.

The Data Mobility Framework team builds simplified, integrated abstractions over analytical engines such as Apache Spark, Flink and Airflow for data engineers, product teams, machine learning engineers and analysts. The focus extends to enhancing the developer experience by creating tools that support the organization’s high‑velocity demands.

If you want to solve the toughest engineering challenges in the world and learn from some of the smartest people in the industry, Door Dash’s Data Mobility Frameworks team is the right place for you. Come join us and be part of the mission.

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.

• Drive vision & strategy for building the frameworks charter and position it to handle the challenges of a rapidly growing business.
• Scale the analytical platform for the increasing amounts of data and use cases.
• 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
• Foster a positive and supportive work culture, up leveling others.

• B.S., M.S., or PhD. in Computer Science or equivalent.
• 2+ years of industry experience.
• 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.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
Covey

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.

Door Dash 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.…