Data Infrastructure Engineer

DoorDash is seeking a Data Infrastructure Engineer to join their Data Ingestion team, which is responsible for managing the movement of trillions of telemetry and transaction data points in real-time. This role offers an exciting opportunity to work with cutting-edge technologies like Apache Spark, Flink, Kafka, and Airflow while contributing to a system that powers multiple business lines and drives billions in revenue.

The position requires 2+ years of experience and strong fundamentals in computer science, with expertise in either Scala, Java, or Python. You'll be working in a hybrid setting from either the Bay Area or Seattle, collaborating with cross-functional teams to evolve the data infrastructure that supports DoorDash's expanding international footprint.

As a member of the Data Ingestion team, you'll be at the forefront of building and maintaining a scalable, high-quality data ingestion framework. Your work will directly impact the company's ability to support critical machine learning models and fast-paced experimentation. The role offers excellent visibility and opportunities for professional growth in a dynamic, rapidly growing company.

DoorDash offers a comprehensive benefits package including competitive base salary ranging from $119,100 to $252,400 USD (depending on level and location), equity grants, 401(k) with employer match, medical/dental/vision insurance, paid parental leave, and wellness benefits. The company is committed to diversity and inclusion, maintaining a workplace where all team members can excel regardless of their background.

This is an ideal opportunity for someone who is passionate about big data infrastructure, enjoys solving complex scalability challenges, and wants to make a significant impact on a platform that serves millions of users daily. The role combines technical excellence with business impact, offering the chance to work on systems that directly contribute to DoorDash's mission of empowering local economies.