Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDashs three-sided marketplace of consumers, merchants, and dashers.
The Data Analytics Engine team manages DoorDash's massive data warehouse and data lake, and makes data accessible for teams driving decision making, machine learning, and experimentation. The team is relatively small, so there's an opportunity for impact where you can help grow the team and shape the roadmap for the data platform at DoorDash.
You're excited about this opportunity because you will...
- Work on our data lake, data warehouse, and real-time OLAP systems to create a unified query engine
- Come up with solutions for scaling data systems for various business needs
- Collaborate in a dynamic startup environment
We're excited about you because you have...
- B.S., M.S., or PhD. in Computer Science or equivalent
- 2+ years of experience with CS fundamental concepts and OOP languages like Java and Python
- Experience working with Data warehouses or Databases like Snowflake, Redshift, Postgres, Cassandra etc
- Experience in big data technologies like Presto/Trino, Spark, Hadoop, Airflow, Kafka, Apache Flink, Druid, Apache Pinot
- Experience improving efficiency, scalability, and stability of system resources
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 usersfrom 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
Were committed to growing and empowering a more inclusive community within our company, industry, and cities. Thats 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: 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.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.