Software Engineer II, Data Engineering

Responsibilities

• Work with business partners and stakeholders to understand data requirements
• 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 ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers

Requirements

• 3+ years of professional experience in data engineering or business intelligence
• Proficiency in Python or Java
• 3+ years of experience in ETL orchestration and workflow management (Airflow, Flink, Oozie, or Azkaban) using AWS/GCP
• Expertise in Database fundamentals, SQL, and distributed computing
• 3+ years of experience with distributed data ecosystems (Spark, Hive, Druid, Presto) and streaming technologies (Kafka/Flink)
• Experience with Snowflake, Redshift, PostgreSQL, or other DBMS platforms
• Knowledge of reporting tools such as Tableau, Superset, or Looker
• Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor)

Benefits

• 401(k) with employer matching
• 16 weeks of paid parental leave
• Wellness and commuter benefits
• Flexible paid time off and paid sick leave
• Medical, dental, and vision benefits
• Family-forming assistance and mental health programs

About the Company

DoorDash is a technology and logistics company on a mission to empower local economies. We are growing rapidly, providing team members the opportunity to solve new challenges and own their careers while supporting Dashers, merchants, and consumers.