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DoorDash logo

Software Engineer II, Data Engineering

DoorDash

Software Engineer II, Data Engineering

DoorDash logo

DoorDash

full-time

Posted: December 10, 2025

Number of Vacancies: 1

Job Description

Software Engineer II, Data Engineering at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key 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

Required Qualifications

  • 3+ years of professional 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

Key Skills

  • Python
  • Java
  • ETL orchestration and workflow management tools (Airflow, Flink, Oozie, Azkaban)
  • AWS/GCP
  • Database fundamentals
  • SQL
  • distributed computing
  • Spark
  • Hive
  • Druid

DoorDash Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • wellness benefits
  • commuter benefits match
  • paid time off
  • paid sick leave
  • medical, dental, and vision benefits
  • 11 paid holidays
  • disability and basic life insurance
  • family-forming assistance

Salary Range

$1,30,600 - $2,85,000 USD annually

Job Summary

About the Team

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.

About the Role

DoorDash is looking for a Softare Engineer II 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

    Food Delivery Jobs | Logistics Tech | Remote Work Opportunities | DoorDash Careers

Locations

  • San Francisco, United States

Salary

130,600 - 285,000 USD / yearly

Skills Required

  • Pythonintermediate
  • Javaintermediate
  • ETL orchestration and workflow management tools (Airflow, Flink, Oozie, Azkaban)intermediate
  • AWS/GCPintermediate
  • Database fundamentalsintermediate
  • SQLintermediate
  • distributed computingintermediate
  • Sparkintermediate
  • Hiveintermediate
  • Druidintermediate
  • Prestointermediate
  • Kafka/Flinkintermediate
  • Snowflakeintermediate
  • Redshiftintermediate
  • PostgreSQLintermediate
  • DBMS platformsintermediate
  • Tableauintermediate
  • Supersetintermediate
  • Lookerintermediate
  • communication skillsintermediate

Required Qualifications

  • 3+ years of professional experience working in data engineering, business intelligence, or a similar role (experience)
  • Proficiency in programming languages such as Python/Java (experience)
  • 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP (experience)
  • Expert in Database fundamentals, SQL and distributed computing (experience)
  • 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. (experience)
  • Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms (experience)
  • Excellent communication skills and experience working with technical and non-technical teams (experience)
  • Knowledge of reporting tools such as Tableau, Superset and Looker (experience)
  • Comfortable working in fast paced environment, self starter and self organizing (experience)
  • Ability to think strategically, analyze and interpret market and consumer information (experience)
  • You must be located near one of our engineering hubs indicated above (experience)

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

  • general: 401(k) plan with employer matching
  • general: 16 weeks of paid parental leave
  • general: wellness benefits
  • general: commuter benefits match
  • general: paid time off
  • general: paid sick leave
  • general: medical, dental, and vision benefits
  • general: 11 paid holidays
  • general: disability and basic life insurance
  • general: family-forming assistance
  • general: mental health program
  • general: premium healthcare
  • general: wellness expense reimbursement

Travel Requirements

0%

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318 DataDoorDash JobsFood DeliveryLogisticsTech JobsSoftware EngineerProduct ManagerData AnalystRemote JobsSan Francisco TechGig EconomyTechnologyLogisticsFood Delivery318 Data

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DoorDash logo

Software Engineer II, Data Engineering

DoorDash

Software Engineer II, Data Engineering

DoorDash logo

DoorDash

full-time

Posted: December 10, 2025

Number of Vacancies: 1

Job Description

Software Engineer II, Data Engineering at DoorDash

DoorDash is revolutionizing food delivery and local commerce. Join our mission to grow and connect communities!

Key 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

Required Qualifications

  • 3+ years of professional 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

Key Skills

  • Python
  • Java
  • ETL orchestration and workflow management tools (Airflow, Flink, Oozie, Azkaban)
  • AWS/GCP
  • Database fundamentals
  • SQL
  • distributed computing
  • Spark
  • Hive
  • Druid

DoorDash Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • wellness benefits
  • commuter benefits match
  • paid time off
  • paid sick leave
  • medical, dental, and vision benefits
  • 11 paid holidays
  • disability and basic life insurance
  • family-forming assistance

Salary Range

$1,30,600 - $2,85,000 USD annually

Job Summary

About the Team

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.

About the Role

DoorDash is looking for a Softare Engineer II 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

    Food Delivery Jobs | Logistics Tech | Remote Work Opportunities | DoorDash Careers

Locations

  • San Francisco, United States

Salary

130,600 - 285,000 USD / yearly

Skills Required

  • Pythonintermediate
  • Javaintermediate
  • ETL orchestration and workflow management tools (Airflow, Flink, Oozie, Azkaban)intermediate
  • AWS/GCPintermediate
  • Database fundamentalsintermediate
  • SQLintermediate
  • distributed computingintermediate
  • Sparkintermediate
  • Hiveintermediate
  • Druidintermediate
  • Prestointermediate
  • Kafka/Flinkintermediate
  • Snowflakeintermediate
  • Redshiftintermediate
  • PostgreSQLintermediate
  • DBMS platformsintermediate
  • Tableauintermediate
  • Supersetintermediate
  • Lookerintermediate
  • communication skillsintermediate

Required Qualifications

  • 3+ years of professional experience working in data engineering, business intelligence, or a similar role (experience)
  • Proficiency in programming languages such as Python/Java (experience)
  • 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP (experience)
  • Expert in Database fundamentals, SQL and distributed computing (experience)
  • 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. (experience)
  • Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms (experience)
  • Excellent communication skills and experience working with technical and non-technical teams (experience)
  • Knowledge of reporting tools such as Tableau, Superset and Looker (experience)
  • Comfortable working in fast paced environment, self starter and self organizing (experience)
  • Ability to think strategically, analyze and interpret market and consumer information (experience)
  • You must be located near one of our engineering hubs indicated above (experience)

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

  • general: 401(k) plan with employer matching
  • general: 16 weeks of paid parental leave
  • general: wellness benefits
  • general: commuter benefits match
  • general: paid time off
  • general: paid sick leave
  • general: medical, dental, and vision benefits
  • general: 11 paid holidays
  • general: disability and basic life insurance
  • general: family-forming assistance
  • general: mental health program
  • general: premium healthcare
  • general: wellness expense reimbursement

Travel Requirements

0%

Target Your Resume for "Software Engineer II, Data Engineering" , DoorDash

Get personalized recommendations to optimize your resume specifically for Software Engineer II, Data Engineering. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineer II, Data Engineering" , DoorDash

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

318 DataDoorDash JobsFood DeliveryLogisticsTech JobsSoftware EngineerProduct ManagerData AnalystRemote JobsSan Francisco TechGig EconomyTechnologyLogisticsFood Delivery318 Data

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No related jobs found at the moment.