Senior Data Engineer - Scale Data Lakes & Pipelines

Doordashusa; 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

Wellness benefits

Commuter benefits match

Paid time off

Paid sick leave

Medical, dental, vision benefits

11 paid holidays

Disability insurance

Life insurance

Family‑forming assistance

Mental health program

Job summary

DoorDash is seeking a Senior Data Engineer to scale data infrastructure, automation, and tools. This hybrid role can be based in Sunnyvale, San Francisco, or Seattle, and involves building data pipelines for Data Lake and Data Warehouse, implementing data quality checks, and improving ETL reliability.

You’ll collaborate with partners and cross‑functional teams to deliver high‑quality data products. Ideal candidates have 5+ years of experience, 3+ years in data engineering/BI, strong Python/Java,

Qualifications

• 5+ years of professional experience.
• 3+ years experience working in data engineering, BI, or 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 ecosystems (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience 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.
• You must be located near one of our engineering hubs indicated above.

Responsibilities

• Work with business partners and stakeholders to understand data requirements.
• Work with engineering, product teams and 3rd parties to collect required data.
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse.
• Develop and implement data quality checks, conduct QA and implement monitoring routines.
• Improve the reliability and scalability of our ETL processes.
• Manage a portfolio of data products that deliver high-quality, trustworthy data.
• Help onboard and support other engineers as they join the team.

Skills

Python

Java

SQL

Spark

Kafka

Snowflake

Redshift

PostgreSQL

Hive

Presto

Looker

Tableau

Superset

Tools

Airflow

Flink

Oozie

Azkaban

Job description

DoorDash is seeking a Senior Data Engineer to scale data infrastructure, automation, and tools. This hybrid role can be based in Sunnyvale, San Francisco, or Seattle, and involves building data pipelines for Data Lake and Data Warehouse, implementing data quality checks, and improving ETL reliability.

You’ll collaborate with partners and cross‑functional teams to deliver high‑quality data products. Ideal candidates have 5+ years of experience, 3+ years in data engineering/BI, strong Python/Java,