DoorDash USA
Software Engineer, Data Mobility
DoorDash USA, San Francisco, California, United States, 94199
About the TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.
About the TeamThe Data Ingestion team at DoorDash is at the forefront of managing the seamless movement of trillions of telemetry and transaction data points from diverse sources to our data lakehouse in real-time. By integrating this data with our online systems, we empower multiple business lines, drive critical machine learning models, and fuel fast-paced experimentation. Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework. As a key player in this innovative and dynamic team, you will help evolve our systems to support DoorDash’s expanding international footprint and ensure the highest standards of reliability and flexibility. This hybrid role requires you to be located in the Bay Area or Seattle.
You’re excited about this opportunity because you will…
High Impact: Contribute to powering multiple business lines with high-quality, low-latency data directly integrated into online systems, driving billions in revenue.
Cutting-Edge Technology: Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg.
Scalability: Play a crucial role in evolving our systems to accommodate a 10x scale increase, supporting DoorDash’s expanding international footprint.
Innovation and Excellence: Be part of a team that drives innovation and maintains high standards of reliability and flexibility in our data infrastructure.
Cross-Functional Collaboration: Collaborate closely with cross-functional teams in Analytics, Product, and Engineering to ensure stakeholder satisfaction with the data platform's roadmap.
Career Growth: Join a dynamic and growing company where your contributions are recognized and valued, providing excellent visibility and opportunities for professional development.
We’re excited about you because…
B.S., M.S., or PhD. in Computer Science or equivalent
2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python
You are located or are willing to locate to the Bay Area or Seattle
Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake
Experience improving efficiency, scalability, and stability of data platforms
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.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using
Covey Scout for Inbound
on August 21, 2023.
Please see the independent bias audit report covering our use of Covey
here .
#J-18808-Ljbffr
About the TeamThe Data Ingestion team at DoorDash is at the forefront of managing the seamless movement of trillions of telemetry and transaction data points from diverse sources to our data lakehouse in real-time. By integrating this data with our online systems, we empower multiple business lines, drive critical machine learning models, and fuel fast-paced experimentation. Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework. As a key player in this innovative and dynamic team, you will help evolve our systems to support DoorDash’s expanding international footprint and ensure the highest standards of reliability and flexibility. This hybrid role requires you to be located in the Bay Area or Seattle.
You’re excited about this opportunity because you will…
High Impact: Contribute to powering multiple business lines with high-quality, low-latency data directly integrated into online systems, driving billions in revenue.
Cutting-Edge Technology: Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg.
Scalability: Play a crucial role in evolving our systems to accommodate a 10x scale increase, supporting DoorDash’s expanding international footprint.
Innovation and Excellence: Be part of a team that drives innovation and maintains high standards of reliability and flexibility in our data infrastructure.
Cross-Functional Collaboration: Collaborate closely with cross-functional teams in Analytics, Product, and Engineering to ensure stakeholder satisfaction with the data platform's roadmap.
Career Growth: Join a dynamic and growing company where your contributions are recognized and valued, providing excellent visibility and opportunities for professional development.
We’re excited about you because…
B.S., M.S., or PhD. in Computer Science or equivalent
2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python
You are located or are willing to locate to the Bay Area or Seattle
Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake
Experience improving efficiency, scalability, and stability of data platforms
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.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using
Covey Scout for Inbound
on August 21, 2023.
Please see the independent bias audit report covering our use of Covey
here .
#J-18808-Ljbffr