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Engineering Manager, Data

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: DoorDash USA
Full Time position
Listed on 2026-05-27
Job specializations:
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About the Team

Door Dash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of Door Dash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making  focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands.

To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for Door Dash.

About the Role

Door Dash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and Door Dash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions itionally, you ll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment.

This is a hybrid role located in San Francisco, CA;
Sunnyvale, CA; or Seattle, WA.

You’re excited about this opportunity because you will…
  • 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
We’re excited about you because you 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
  • Building systems directly powering online applications
  • Exposure to various databases such as Cockroach

    DB, Cassandra, and PostgreSQL
Compensation & Benefits

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

Door…

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