Software Engineer, Data Engineering

About the role

DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Own critical data systems that support multiple products/teams

• Develop, implement and enforce best practices for data infrastructure and automation

• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse

• Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services

• Manage a portfolio of data products that deliver high-quality, trustworthy data

• Help onboard and support other engineers as they join the team

We’re excited about you because…

• 3+ years of professional experience

• 3+ years experience working in data platform and data engineering or a similar role

• You have 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

• Proficiency in programming languages such as Python/Kotlin/Scala

• 3+ years of experience in ETL orchestration and workflow management tools like Airflow

• Expert in database fundamentals, SQL, data reliability practices and distributed computing

• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming

• Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools

• Comfortable working in fast paced environment, self starter and self organizing

• Ability to think strategically, analyze and interpret market and consumer information

• You must be located near one of our engineering hubs indicated above

About the Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.

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 by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order 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.

Our Commitment to Diversity and Inclusion

If you need any accommodations, please inform your recruiting contact upon initial connection.

We use Covey as part of our hiring and/or promotional process for jobs in certain locations.

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

Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .