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# Engineering Manager, Data

- **Company:** DOORDASH, INC.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Apache HTTP Server, Systems Engineering, Big Data, Databases, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Retention, Apache Hadoop, Python (Programming Language), PostgreSQL, SQL Databases, Snowflake, Apache Spark, Data Lakes, Information Technology, Apache Flink, Cassandra
- **Published:** October 21, 2026
- **Apply:** https://www.thejobnetwork.com/job/4a379ba8-c7bd-449f-ae66-2a2a00d1deeb/engineering-manager-data

## About the Role

- You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams
- You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability
- You strive for continuous improvement of data architecture and development process
- You think of quick wins while planning for long term strategy and engineering excellence. You are excited about breaking down large systems into easy to use data assets and reusable components
- You are excited about cross collaboration with stakeholders, external partners and peer data leaders
- You are a planner and executioner. You know the tools to plan for short term and long term team and stakeholder success
- You think of reliability and quality as must have
, - B.S., M.S., or PhD. in Computer Science or equivalent
- 10+ years of experience working in data engineering or a related domain
- 2+ years of hands-on management experience
- Experience hiring and growing teams
- Exceptional communication and leadership skills, with a proven ability to operate in a fast moving environment
- Experienced with performance management, coaching, mentoring and growing teams
- Hands-on approach to closing gaps in data infrastructure and technical execution, able to code in SQL and Python
- Prior experience with Snowflake/Redshift, AWS/GCP, Hadoop/Spark/Big data, Lambda/KAPPA architectures, Flink/Airflow 
- Prior experience with large scale batch/real time ETL orchestration
- Prior experience in Systems Engineering - you've built meaningful big data processing systems at scale, and experience with big data compute engines such as Apache Spark and Apache Flink
- Familiarity with Datalake solutions such as Delta Lake, Apache Iceberg
- Familiarity with a cloud based environment such as AWS
- Experience with these specific technologies is not required but helpful


## Description

- Exposure to various databases such as CockroachDB, Cassandra, and PostgreSQL

**Notice Regarding Use of AI and Automated Tools:** To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem.

**How it works:** Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

**Data Retention, Privacy & Bias Audit:** Data collected during this process is retained in accordance with our [Candidate Privacy Policy](https://help.doordash.com/en-us/legal/article/ax-privacy-notice) and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our [Careers Page](https://careersatdoordash.com/wp-content/uploads/2026/06/Gem-BABL-Bias-…).

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using [Covey Scout for Inbound](https://getcovey.com/product/covey-scout-inbound) from August 21, 2023, through December 21, 2023, and resumed using [Covey Scout for Inbound](https://getcovey.com/product/covey-scout-inbound) again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: [Covey](https://getcovey.com/nyc-local-law-144)

**Compensation**