Data Platform Engineer: Scale & Real-Time Analytics

DoorDash, Inc.

New York (NY)

On-site

USD 131,000 - 192,000

Full time

4 hours ago

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Benefits offered by this job

Equity grants

401(k) plan

Parental leave

Wellness benefits

Paid time off

Medical/dental/vision

Job summary

DoorDash is seeking a Data Platform Engineer to drive the frameworks charter, scale the analytical platform, and build reliable data infrastructure. You will collaborate with engineers, analysts, and ML teams to enable real-time insights and personalization for a growing user base.

You should have 2+ years in software engineering, plus experience with big data tools and open-source tech. Relocation to Bay Area, Seattle, or New York is welcomed.

Qualifications

Degree in CS or equivalent required.
2+ years software engineering experience.
Experience with big data domains and real-time analytics.
Experience with Kafka, Flink, Spark, Cassandra, Clickhouse, Iceberg.
Experience building data infrastructure; open-source tech a bonus.
Willing to relocate to Bay Area, Seattle, or New York.

Responsibilities

Drive vision & strategy for the frameworks charter and align with business needs.
Scale the analytical platform to handle growing data and use cases.
Build reliable, scalable, cost-efficient data systems.
Collaborate with stakeholders to deliver platform solutions.
Foster a positive, supportive culture and uplift teammates.

Skills

AI coding tools

Big data platforms

Reliability & scalability

Education

BS/MS/PhD in CS or equivalent

Tools

Apache Kafka

Flink

Spark

Cassandra

Clickhouse

Iceberg

DataHub

Airflow

Job description

You should have 2+ years in software engineering, plus experience with big data tools and open-source tech. Relocation to Bay Area, Seattle, or New York is welcomed.

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