Software Engineer, Data Engineering

Job highlights

• Comfortable working in 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
• Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools .

Job Summary

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. Team serves as the foundation for decision-making at DoorDash.

DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.

Responsibilities

• Own critical data systems that support multiple products/teams

• Develop, implement and enforce best practices for data infrastructure and automation

• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse

• Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services

• Manage a portfolio of data products that deliver high-quality, trustworthy data

• Help onboard and support other engineers as they join the team

  Qualifications

• 3+ years of professional experience

• 3+ years experience working in data platform and data engineering or a similar role

• You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software

• Proficiency in programming languages such as Python/Kotlin/Scala

• 3+ years of experience in ETL orchestration and workflow management tools like Airflow

• Expert in database fundamentals, SQL, data reliability practices and distributed computing

• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming

• Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools

• Comfortable working in 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.