Senior Data Engineer

DoorDash is seeking a Senior Data Engineer to scale our data infrastructure, automation, and tools to meet growing business needs. As a technical powerhouse, you'll work with business partners and stakeholders to understand data requirements, design and implement large-scale data models and pipelines, and improve the reliability and scalability of our ETL processes.

Key responsibilities include:

• Collaborating with engineering, product teams, and 3rd parties to collect required data
• Developing high-volume, high-performance data models for Data Lake and Data Warehouse
• Implementing data quality checks, conducting QA, and setting up monitoring routines
• Managing a portfolio of data products that deliver high-quality, trustworthy data
• Supporting and onboarding other engineers as they join the team

The ideal candidate will have:

• 5+ years of professional experience, with 3+ years in data engineering or similar roles
• Proficiency in Python/Java and expert knowledge of database fundamentals and SQL
• Experience with ETL orchestration tools (Airflow, Flink, Oozie, Azkaban) using AWS/GCP
• Familiarity with distributed data ecosystems (Spark, Hive, Druid, Presto) and streaming technologies (Kafka/Flink)
• Experience with Snowflake, Redshift, PostgreSQL, and reporting tools like Tableau and Looker

DoorDash offers a comprehensive benefits package, including a 401(k) plan with employer match, paid time off, parental leave, wellness benefits, and medical, dental, and vision coverage for full-time employees.

Join DoorDash and be part of a diverse, inclusive team committed to innovation and empowering local economies. Your unique perspective will contribute to solving new challenges and shaping the future of goods delivery.