Software Engineer II, Data Engineering Job at DoorDash USA, San Francisco, CA

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  • DoorDash USA
  • San Francisco, CA

Job Description

About the Team

Data is at the foundation of DoorDash's 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.

About the Role

DoorDash is looking for a Software Engineer II 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 third 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…

  • 3+ years of professional experience working in data engineering, business intelligence, or a similar role
  • Proficiency in programming languages such as Python or Java
  • 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie, and Azkaban using AWS or GCP
  • Expert in database fundamentals, SQL, and distributed computing
  • 3+ years of experience with distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka or 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 a 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
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