DoorDash
Join to apply for the
Software Engineer, Data Mobility
role at
DoorDash About The Team: Come 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. The 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. You’re Excited About This Opportunity Because You Will… Contribute to powering multiple business lines with high-quality, low-latency data directly integrated into online systems, driving billions in revenue. Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg. Play a crucial role in evolving our systems to accommodate a 10x scale increase, supporting DoorDash’s expanding international footprint. Be part of a team that drives innovation and maintains high standards of reliability and flexibility in our data infrastructure. Collaborate closely with cross-functional teams in Analytics, Product, and Engineering to ensure stakeholder satisfaction with the data platform's roadmap. 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 OR 2+ years of production experience with at least one of the programming languages such as Scala, Java, and Python. Very good understanding of SQL. 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 Compensation: 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. DoorDash cares about you and your overall well-being. That’s why we offer a 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. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
#J-18808-Ljbffr
Software Engineer, Data Mobility
role at
DoorDash About The Team: Come 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. The 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. You’re Excited About This Opportunity Because You Will… Contribute to powering multiple business lines with high-quality, low-latency data directly integrated into online systems, driving billions in revenue. Work with advanced open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg. Play a crucial role in evolving our systems to accommodate a 10x scale increase, supporting DoorDash’s expanding international footprint. Be part of a team that drives innovation and maintains high standards of reliability and flexibility in our data infrastructure. Collaborate closely with cross-functional teams in Analytics, Product, and Engineering to ensure stakeholder satisfaction with the data platform's roadmap. 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 OR 2+ years of production experience with at least one of the programming languages such as Scala, Java, and Python. Very good understanding of SQL. 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 Compensation: 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. DoorDash cares about you and your overall well-being. That’s why we offer a 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. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.
#J-18808-Ljbffr