Data Engineer
Core
Building scalable data infrastructure, pipelines, and warehouse architectures to power reporting, product analytics, and financial decision-making for DoorDash's global logistics platform.
Role type
Senior Data Engineer
Builds
Large-scale data models, ETL pipelines, and data warehouse solutions for Data Lake and Data Warehouse
Domain
Logistics / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Java, SQL, ETL orchestration (Airflow, Flink, Oozie, Azkaban), distributed computing (Spark, Hive, Druid, Presto), streaming technologies (Kafka, Flink), database management (Snowflake, Redshift, PostgreSQL)
Preferred skills
Tableau, Superset, Looker, QA and monitoring routines, stakeholder collaboration
Technologies
AWS, GCP, Airflow, Flink, Oozie, Azkaban, Spark, Hive, Druid, Presto, Kafka, Snowflake, Redshift, PostgreSQL
Responsibilities
Design and implement high-performance data models and pipelines; develop data quality checks and monitoring routines; manage a portfolio of data products; collaborate with business partners and engineering teams to collect and understand data requirements; onboard and support new engineers
Seniority
Mid-level, hands-on IC
