> Markdown version of [/jobs/ext/3727659-software-engineer-data-engineering](https://www.wearedevelopers.com/jobs/ext/3727659-software-engineer-data-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, Data Engineering

- **Company:** DOORDASH, INC.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Computer Programming, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Warehousing, Cursor, Distributed Data Store, Distributed Systems, Apache Hive, Python (Programming Language), PostgreSQL, Apache Oozie, Software Engineering, SQL Databases, Tableau (Software), Workflow Management Systems, Usage Analysis, Claude Code, Snowflake, Apache Spark, AI Coding Agents, Data Lakes, Druid, Apache Flink, Apache Kafka, Presto, Tools for Reporting, Video Streaming, Looker Analytics, Amazon Redshift
- **Published:** October 14, 2026
- **Apply:** https://www.thejobnetwork.com/job/b6aa5afe-3d55-4a55-b170-4fbbdb289008/software-engineer-data-engineering

## About the Role

- 3+ years of professional experience working in data engineering, business intelligence, 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/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
- You must be located near one of our engineering hubs indicated above


## Description

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 Software Engineer 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
- 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