Senior Data Engineer
Description For Senior Data Engineer
DoorDash is seeking a Senior Data Engineer to strengthen their data infrastructure and drive decision-making processes. As a key member of the Data Engineering team, you'll be responsible for building robust database solutions that power various aspects of the business, from product analytics to financial reporting. The role offers an exciting opportunity to work with cutting-edge technologies and handle large-scale data challenges.
The ideal candidate will bring 5+ years of professional experience, with deep expertise in data engineering and distributed systems. You'll work closely with cross-functional teams to design and implement high-performance data pipelines, ensure data quality, and scale our ETL processes to meet growing business demands. Your technical toolkit should include proficiency in Python/Java, extensive experience with ETL tools, and expert-level knowledge of SQL and distributed computing.
DoorDash offers a comprehensive benefits package including competitive salary ranges from $119,100 to $252,400 USD (depending on level and location), equity grants, and extensive health benefits. The company's commitment to diversity and inclusion creates an environment where all perspectives are valued and celebrated. You'll be part of a mission-driven organization that's transforming from a food delivery company to a technology platform that connects communities with all types of goods.
Working at DoorDash means joining a fast-paced, constantly evolving environment where you'll have the opportunity to make significant impact while solving complex technical challenges. The role combines technical expertise with strategic thinking, making it perfect for someone who wants to be at the forefront of data engineering while working on solutions that directly impact millions of users.
Responsibilities For Senior Data Engineer
- 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 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 data
- Help onboard and support other engineers
Requirements For Senior Data Engineer
- 5+ years of professional experience
- 3+ years experience working in data engineering, business intelligence, or similar role
- Proficiency in programming languages such as Python/Java
- 3+ years of experience in ETL orchestration and workflow management tools
- Expert in Database fundamentals, SQL and distributed computing
- 3+ years of experience with Distributed data ecosystem and streaming technologies
- Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
- Excellent communication skills
- Knowledge of reporting tools such as Tableau, Superset and Looker
- Comfortable working in fast paced environment
Benefits For Senior Data Engineer
- 401(k) plan with employer match
- Paid time off
- Paid parental leave
- Wellness benefits
- Medical, dental, and vision benefits
- Disability and basic life insurance
- Family-forming assistance
- Commuter benefit match
- Mental health program
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