Senior Software Engineer, Data Engineering

5+ years of professional experience

3+ years experience working in data engineering, business intelligence, or a similar role

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.

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. This is a hybrid position in San Francisco, CA; Sunnyvale, CA; or Seattle, WA.

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

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.