Software Engineer, Data Platform (All Teams)
About The Team
DoorDash is a data-driven organization that relies on timely, accurate, and reliable data to drive business and product decisions. The Core Data Platform organization owns all the infrastructure necessary to run an operationally efficient analytical data stack.
About The Roles
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 DoorDash’s business-critical insights and real-time personalization capabilities.
You're Excited About This Opportunity
- 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, upleveling others.
We're Excited About You
- 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.
- Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software.
- 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, Clickhouse, Iceberg etc.
- Prior technical experience in Big Data infrastructure & governance - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like DataHub, Spark, Airflow, Kafka, Flink.
- Experience improving efficiency, scalability, and stability of data platforms.
- You are located or willing to relocate to the Bay Area, Seattle, or New York.
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: https://getcovey.com/nyc-local-law-144.
Compensation
The national base pay ranges for this position within the United States, including Illinois and Colorado.
- I4: $130,600—$192,000 USD
- I5: $159,800—$235,000 USD
- I6: $193,800—$285,000 USD
Benefits
To learn more about our benefits, visit our careers page here. See Below For Paid Time Off Details 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).
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.