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DoorDash

Runs apps for local food and grocery delivery

Data Engineer Manager - Data

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A B.S., M.S., or PhD in Computer Science or equivalent is required.
  • At least 10 years of experience working in data engineering or a related domain is required.
  • At least 2 years of hands-on management experience is required.
  • Experience hiring and growing teams is required.
  • The candidate must be able to code in SQL and Python and take a hands-on approach to closing gaps in data infrastructure and technical execution.
  • Prior experience with Snowflake or Redshift; AWS or GCP; Hadoop, Spark, or big data; Lambda or Kappa architectures; and Flink or Airflow is required.
  • Prior experience with large-scale batch or real-time ETL orchestration is required.
  • Prior experience in Systems Engineering, building meaningful big data processing systems at scale, and experience with big data compute engines such as Apache Spark and Apache Flink is required.
  • Familiarity with data lake solutions such as Delta Lake and Apache Iceberg is required.
  • Familiarity with a cloud-based environment such as AWS is required.
  • Exceptional communication and leadership skills and the ability to operate in a fast-moving environment are required.

Responsibilities

  • Guide the development of enterprise-scale data solutions.
  • Act as a technical expert on data architecture to empower data engineers, data scientists, and DoorDash partners.
  • Foster an engineering culture of excellence and empower engineers to deliver reliable, flexible solutions at scale.
  • Build and nurture a high-performing team.
  • Hire, build, grow, and nurture business-focused data teams.
  • Drive the technical and strategic vision for embedded pods and foundational enablers to meet current and future needs for scale and interoperability.
  • Continuously improve data architecture and development processes.
  • Break down large systems into easy-to-use data assets and reusable components while planning for near-term wins and long-term engineering excellence.
  • Collaborate with stakeholders, external partners, and peer data leaders.
  • Plan for short-term and long-term team and stakeholder success.
  • Prioritize reliability and quality.

Desired Qualifications

  • Experience building systems that directly power online applications is helpful but not required.
  • Exposure to databases such as CockroachDB, Cassandra, and PostgreSQL is helpful but not required.

About the Company

DoorDash

Runs apps for local food and grocery delivery

DoorDash runs apps that let people order restaurant meals, groceries, and other goods from local businesses, which independent couriers called Dashers bring to their doors. In 2019 it overtook Grubhub to become the largest food delivery service in the United States, and it later expanded abroad by buying Finland's Wolt and Britain's Deliveroo. Merchants pay DoorDash a fee on each order and can buy ads in its apps, while customers pay delivery and service fees or join DashPass, a subscription that cuts those fees. Businesses can also hire Dashers through its Drive service to carry orders placed on their own websites. Four Stanford students founded DoorDash in 2013, and it is based in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2013

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