Senior Data Engineer

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

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

About the Company

DoorDash is a technology and logistics company on a mission to empower local economies. We provide the infrastructure for door-to-door delivery of all goods, connecting Dashers, merchants, and consumers.