Data Platform Engineer: Scale Big Data & Real-Time Analytics

DoorDash, Inc.; Seattle (WA); On-site; USD 131,000 - 192,000; Full time

Benefits offered by this job

401(k) with employer matching

16 weeks paid parental leave

Wellness benefits

Commuter benefits match

Job summary

DoorDash is seeking a data platform engineer to drive the vision and strategy for our analytics framework and to scale our data platform for rapidly growing business use cases. You will build and operate high‑scale systems focusing on reliability, scalability and cost efficiency, collaborating with stakeholders across teams.

You will contribute to data governance and quality, enabling real-time personalization and insights at scale, while shaping the road-map for the Core Data Platform.

Qualifications

• B.S., M.S., or PhD in Computer Science or equivalent.
• 2+ years of industry experience in software engineering.
• Proficiency in using AI coding tools in the full software development lifecycle.
• Experience working on big data domains (streaming, batch, data lake OLAP) and promoting realtime insights at scale using technologies such as Apache Kafka, Flink, Spark, Cassandra, ClickHouse, Iceberg.
• Prior technical experience in Big Data infrastructure & governance (open-source tools 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.

Responsibilities

• 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.
• Build and operate 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, uplvelling others.

Skills

Big data domain experience

Software engineering

Data platform reliability & scaling

Education

Bachelor/Master/PhD in Computer Science or equivalent

Tools

Apache Kafka

Flink

Spark

Airflow

Cassandra

ClickHouse

Iceberg

DataHub

Job description

DoorDash is seeking a data platform engineer to drive the vision and strategy for our analytics framework and to scale our data platform for rapidly growing business use cases. You will build and operate high‑scale systems focusing on reliability, scalability and cost efficiency, collaborating with stakeholders across teams.

You will contribute to data governance and quality, enabling real-time personalization and insights at scale, while shaping the road-map for the Core Data Platform.