DoorDash USA
Senior Software Engineer, Data Engineering
DoorDash USA, San Francisco, California, United States, 94199
About the TeamData 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.
About the RoleDoorDash 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.
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
We're excited about you because...
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 a 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
CompensationThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary. Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that's why we offer a comprehensive benefits package for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
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About the RoleDoorDash 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.
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
We're excited about you because...
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 a 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
CompensationThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary. Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that's why we offer a comprehensive benefits package for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
#J-18808-Ljbffr