About the job
About Our Team
At DoorDash, data drives our success. Our Data Engineering team is pivotal in building robust database solutions tailored for diverse applications, including reporting, product analytics, marketing optimization, and financial reporting. By architecting pipelines, data structures, and data warehouse environments, we enable data-driven decision-making across the organization.
About the Role
We are seeking a talented Software Engineer II to join our team as a technical leader, responsible for scaling our data infrastructure, enhancing automation, and developing tools to support our expanding business needs.
What You Will Do
- Collaborate with business partners and stakeholders to gather and understand data requirements.
- Work alongside engineering, product teams, and external partners to ensure seamless data collection.
- Design, develop, and implement high-performance data models and pipelines for our Data Lake and Data Warehouse.
- Establish and execute data quality checks, conduct thorough QA, and implement monitoring routines.
- Enhance the reliability and scalability of our ETL processes.
- Manage a suite of data products that deliver accurate and trustworthy data.
- Support and onboard new engineers as they join our team.
What We Are Looking For
- 3+ years of professional experience in data engineering, business intelligence, or a related field.
- Proficiency in programming languages such as Python and Java.
- 3+ years of experience with ETL orchestration and workflow management tools, including Airflow, Flink, Oozie, and Azkaban, using AWS/GCP platforms.
- Strong understanding of database fundamentals, SQL, and distributed computing.
- 3+ years of experience with distributed data ecosystems (e.g., Spark, Hive, Druid, Presto) and streaming technologies like Kafka and Flink.
- Experience with Snowflake, Redshift, PostgreSQL, and/or other database management systems.
- Excellent communication skills with a proven ability to liaise with both technical and non-technical teams.
- Familiarity with reporting tools such as Tableau, Superset, and Looker.
- Able to thrive in a fast-paced and dynamic environment.

