Software Engineer, Data Platform; Teams

About The Team

Door Dash is a data‑driven organization that relies on timely, accurate and reliable data to drive many business and product decisions. The Core Data Platform organization owns all the infrastructure necessary to run an operationally efficient analytical data stack.

The Data Platform team spans data mobility frameworks, ingestion, infrastructure, tools, and governance. Together, they design and operate scalable compute and ingestion frameworks using technologies such as Spark, Flink, Kafka, Airflow, and modern lakehouse solutions, while also building abstractions and tools that simplify data workflows for engineers, analysts, and ML practitioners. In parallel, these teams establish strong data quality, cataloging, privacy, and compliance standards to ensure trust in analytics and regulatory adherence.

As relatively high‑impact teams, they offer engineers the opportunity to shape the roadmap, influence core platform decisions, and directly enable Door Dash’s business‑critical insights and real‑time personalization capabilities.

You must be located in San Francisco, CA;
Sunnyvale, CA;
Seattle, WA; or New York, NY.

• 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.
• 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 at our I4 level, 5+ years of industry experience at our I5 level.
• Experience working on big data domains (streaming, batch, data lake OLAP) and promoting realtime insights and data analytics at scale using technologies such as Apache Kafka, Flink, Spark, Cassandra, Click House, Iceberg, etc.
• Located or willing to relocate to the Bay Area, Seattle, or New York.
• Prior technical experience in Big Data infrastructure & governance – built meaningful pieces of data infrastructure. Bonus if those were open‑source technologies like Data Hub, Spark, Airflow, Kafka, Flink.
• Experience improving efficiency, scalability, and stability of data platforms.

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., Colorado Healthy Families and Workplaces Act). Door Dash 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.

To learn more about our benefits, visit our careers page.

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g., about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g., about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

I4: $130,600—$192,000 USD
I5: $159,800—$235,000 USD
I6: $193,800—$285,000…