Software Engineer, Data Engineering

Overview

Software Engineer, Data at DoorDash, working on the Data Engineering team that builds database solutions for reporting, product analytics, marketing optimization and financial reporting, serving as the foundation for decision-making at DoorDash.

What you'll do

• 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

What you'll need

• 3+ years of professional experience
• 3+ years experience working in data platform and data engineering or a similar role
• 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
• Must be located near one of the engineering hubs indicated in the posting

Details

• Location: Hyderabad, India