Senior Software Engineer, Data Engineering

DoorDash USA • Sunnyvale, CA

2h • Hybrid

About The Position

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.
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.
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 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
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

Requirements

• 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.
• 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 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 indicated above

Responsibilities

• 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
• 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

Benefits

• a 401(k) plan with employer matching
• 16 weeks of paid parental leave
• wellness benefits
• commuter benefits match
• paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act)
• medical, dental, and vision benefits
• 11 paid holidays
• disability and basic life insurance
• family-forming assistance
• a mental health program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed