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About the Role
DoorDash is seeking a Software Engineer to enhance its data infrastructure, automation, and tools to support expanding business requirements.
Responsibilities
- Collaborate with business partners and stakeholders to define data requirements.
- Liaise with engineering, product teams, and third parties to gather necessary data.
- Design, develop, and implement scalable, high-volume, high-performance data models and pipelines for Data Lake and Data Warehouse.
- Develop and implement data quality checks, conduct QA, and establish monitoring routines.
- Enhance the reliability and scalability of ETL processes.
- Manage a portfolio of data products ensuring high-quality, reliable data delivery.
- Assist in onboarding and supporting new engineers joining the team.
Requirements
- 3+ years of professional experience in data engineering, business intelligence, or a similar field.
- Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) throughout the software development lifecycle.
- Proficiency in programming languages such as Python/Java.
- 3+ years of experience with ETL orchestration and workflow management tools (e.g., Airflow, Flink, Oozie, Azkaban) on 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, and/or other DBMS platforms.
- Excellent communication skills and experience collaborating with technical and non-technical teams.
- Familiarity with reporting tools such as Tableau, Superset, and Looker.
- Comfortable working in a fast-paced environment; a self-starter and self-organizer.
- Ability to think strategically and analyze market and consumer information.
- Must be located near one of the specified engineering hubs.
Skills
- Python
- Java
- ETL orchestration
- Workflow management tools
- Airflow
- Flink
- Oozie
- Azkaban
- AWS
- GCP
- Database fundamentals
- SQL
- Distributed computing
- Spark
- Hive
- Druid
- Presto
- Kafka
- Snowflake
- Redshift
- PostgreSQL
- DBMS platforms
- Tableau
- Superset
- Looker
- AI coding tools
Location
- Near specified engineering hubs
Work Type
- Full-time
Experience Level
- 3+ years of professional experience
Salary/Compensations
- $117,500—$172,800 USD
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off
- Paid sick leave
- Medical benefits
- Dental benefits
- Vision benefits
- 11 paid holidays
- Disability insurance
- Basic life insurance
- Family-forming assistance
- Mental health program
- Equity grants
About the Company
- Data is fundamental to DoorDash's success, with the Data Engineering team building database solutions for reporting, product analytics, marketing optimization, and financial reporting.
- At DoorDash, our mission to empower local economies shapes how team members move quickly, learn, and reiterate to make impactful decisions with empathy for users.
- DoorDash is a technology and logistics company evolving from food delivery to providing any and all goods.
- DoorDash is growing rapidly and constantly changing, offering opportunities for team members to share perspectives, solve challenges, and own their careers.
- DoorDash is committed to supporting employee well-being through comprehensive benefits and perks.
Equal Opportunity
- DoorDash is committed to growing and empowering a more inclusive community.
- DoorDash hires and cultivates diverse teams from all backgrounds, experiences, and perspectives.
- True innovation occurs when everyone has a seat at the table and the tools, resources, and opportunity to excel.
- No employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
- DoorDash strives to prevent subtler forms of inappropriate behavior like stereotyping.
- Barriers to success have no place at DoorDash.
- People who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.
- Will consider for employment qualified applicants, including those with arrest and conviction records, in accordance with applicable regulations.
- If you need any accommodations, please inform your recruiting contact upon initial connection.