Описание

DoorDash seeks a senior data engineer to build and scale large-volume data models, pipelines, and warehouse/lake infrastructure. The role includes ETL orchestration, data quality checks, monitoring, and support for data products. It is a hybrid position in San Francisco, Sunnyvale, or Seattle.

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

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
Comfortable working in fast paced environment, self starter and self organizing
Ability to think strategically, analyze and interpret market and consumer information
Must be located near one of our engineering hubs indicated above

Nice to have

Knowledge of reporting tools such as Tableau, Superset and Looker

We offer

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions
Base salary is localized according to an employee’s work location
Ranges are market-dependent and may be modified in the future
Compensation for this role includes opportunities for equity grants
Comprehensive benefits package to all regular employees, which includes 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, and a mental health program, among others
For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year
For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week)
The national base pay range for this position within the United States, including Illinois and Colorado: $143,800—$211,500 USD

Hiring process

Applications for this position are accepted on an ongoing basis
If you need any accommodations, please inform your recruiting contact upon initial connection