Data Engineering Manager, Audience Lifecycle

NPR

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Manage, mentor, and coach a team of Software Engineers, investing in career growth and psychological safety
  • Lead recruitment, hiring, and structured onboarding for the engineering team
  • Partner with product managers, UX designers, data analysts, and editorial partners
  • Lead technical planning, scoping, and execution using Agile ceremonies
  • Conduct software design and code reviews to maintain architectural integrity and security
  • Implement engineering workflow improvements and automation to optimize developer experience
  • Oversee response to critical production bugs or infrastructure incidents
  • Coordinate workflows and deliverables for external contributors and vendors

Requirements

  • 3+ years of experience managing or leading data engineers in an agile organization
  • Prior experience as an individual contributor shipping code for large-scale data applications
  • Experience with GCP, AWS, or similar cloud platforms
  • Experience managing high availability, distributed, and fault-tolerant applications
  • Proficiency in SQL and at least one general-purpose language like Python
  • Hands-on experience with modern version control systems like Git
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience

Preferred Qualifications

  • Experience managing both internal employees and external agency vendors
  • Experience implementing and maintaining data lakes, warehouses, and ingestion pipelines
  • Experience with Salesforce, BigQuery, and Looker
  • Experience with audience segmentation or marketing data infrastructure at scale

About the Company

NPR is a mission-driven multimedia organization that produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation.

Skills & tools

PythonSQLGCPAWSAgile

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 013+ years management experience
  2. 02Experience with large-scale data applications
  3. 03Cloud platform experience (GCP/AWS)
  4. 04Proficiency in SQL and Python
  5. 05Git experience
  6. 06Bachelor's degree in CS or equivalent
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