Data Engineer, People Analytics

A technology and logistics company that started with door-to-door delivery, empowering local economies.
$130,000 - $220,000
Data
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
Enterprise SaaS · Logistics

Description For Data Engineer, People Analytics

DoorDash is seeking an experienced Data Engineer to join their People Analytics team, focusing on building and scaling data infrastructure that powers people-related insights. This role is crucial in supporting DoorDash's data-driven approach to talent management, including recruiting, retention, and development. The position offers an opportunity to work with a diverse team of analysts, scientists, and engineers while developing tools and insights that directly impact the company's growth.

The ideal candidate will be responsible for architecting data infrastructure, implementing ETL pipelines, and ensuring data integrity across all People data systems. They will work with tools like Airflow, dbt, and AWS to create robust data solutions that support various HR analytics initiatives, from recruiting pipelines to employee engagement metrics.

DoorDash offers a dynamic work environment where innovation and problem-solving are valued. The company's mission to empower local economies drives their approach to rapid learning and iteration. They provide comprehensive benefits, professional growth opportunities, and a culture that emphasizes both autonomy and collaboration. This role presents an excellent opportunity for a data professional who wants to make a significant impact while working with cutting-edge technologies in a fast-growing organization.

Last updated 10 days ago

Responsibilities For Data Engineer, People Analytics

  • Architect and engineer People data infrastructure
  • Design and implement data warehouse schemas, tables, and views
  • Develop ETL pipelines using Airflow and dbt
  • Support self-service analytics projects
  • Provide data support for People metrics
  • Ensure data integrity across People data
  • Document system requirements and configuration
  • Train peers on new processes and functionality
  • Help build data governance

Requirements For Data Engineer, People Analytics

Python
  • 5+ years of industry experience in data engineering or software engineering
  • Experience deploying cloud architecture like dbt, Airflow, and Databricks in AWS
  • Expert SQL skills and experience writing complex queries
  • Proficiency authoring Airflow DAGs
  • Experience with data observability and monitoring frameworks
  • Strong business thinking ability
  • Data-driven with strong attention to detail

Benefits For Data Engineer, People Analytics

Medical Insurance
  • Comprehensive health benefits
  • Great compensation packages
  • Professional development opportunities
  • Autonomous work environment
  • Meaningful impact on the business

Interested in this job?

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