Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.
DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.
You're excited about this opportunity because you will…
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
We're excited about you because…
5+ years of professional experience
3+ years experience working in data engineering, business intelligence, or a similar role
You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
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
You must be located near one of our engineering hubs indicated above
Apply on company website one of our engineering hubs On-site Full-time