Senior Data Engineer - Scale Data Lakes & Pipelines

DoorDash, Inc.; San Francisco, Sunnyvale, Seattle (CA, CA, WA); Hybrid; USD 144,000 - 212,000; Full time

Benefits offered by this job

401(k) with employer matching

16 weeks paid parental leave

Health insurance

Wellness benefits

Commuter benefits match

Paid time off and paid sick leave

Job summary

DoorDash is seeking a Senior Data Engineer to scale our data infrastructure, automation, and tools in a hybrid role. Candidates must be located near our engineering hubs in Sunnyvale, San Francisco, or Seattle, or be willing to relocate.

The role focuses on building high-performance data models and pipelines for our Data Lake and Data Warehouse, with emphasis on data quality, reliability, and scalability. You will collaborate closely with business partners, engineering, and product teams to

Qualifications

• 5+ years of professional experience in data engineering or BI
• 3+ years experience in data engineering, BI, or a similar role
• Proficiency in programming languages such as Python/Java
• 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
• Excellent communication skills and experience working with technical and non-technical teams
• Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information

Responsibilities

• Understand data requirements with business partners
• Collaborate with engineering, product teams and third parties to collect data
• Design, develop and implement large scale, high volume data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, QA and monitoring routines
• Improve the reliability and scalability of ETL processes
• Manage a portfolio of data products delivering high-quality, trustworthy data
• Onboard and support other engineers as they join the team

Skills

Python/Java

ETL orchestration

SQL

Data modeling

Spark/Hive/Druid/Presto

Kafka/Flink

Tableau/Superset/Looker

Communication

Self-starter

Data warehouse

Tools

Snowflake

Redshift

PostgreSQL

Spark

Airflow

Job description

DoorDash is seeking a Senior Data Engineer to scale our data infrastructure, automation, and tools in a hybrid role. Candidates must be located near our engineering hubs in Sunnyvale, San Francisco, or Seattle, or be willing to relocate.

The role focuses on building high-performance data models and pipelines for our Data Lake and Data Warehouse, with emphasis on data quality, reliability, and scalability. You will collaborate closely with business partners, engineering, and product teams to