Data Engineering Manager, Audience Lifecycle

🕒 July 27

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NPR

1001 - 5000 employees

Founded 1970

📱 Media

🤝 Non-profit

🌍 Social Impact

💰 $4.7M Grant on 2020-05

Media • Non-profit • Social Impact

NPR is a nonprofit organization dedicated to providing breaking news, analysis, music, arts, and podcasts. As a prominent figure in journalism, NPR covers top stories in U. S. and world news, politics, health, science, business, and culture. Among its many offerings, NPR is known for its diverse range of podcasts and programming that include news, music, and cultural topics, thereby fulfilling its mission of public service journalism and cultural exploration.

📋 Description

• Manage, mentor, and coach a team of Software Engineers, actively investing in their career growth, professional development, and psychological safety. • Lead recruitment and hiring efforts for software engineering vacancies on your team, and manage the structured onboarding and training of new engineering staff. • Partner with product managers, UX designers, data analysts, and editorial partners across all stages of the product development lifecycle. • Lead the technical planning, scoping, and execution of future software projects, facilitating Agile ceremonies as needed. • Conduct thorough software design and code reviews, providing constructive and substantive feedback to maintain code health, architectural integrity, and security standards. • Analyze, propose, and implement engineering workflow improvements to enhance the speed, safety, and quality of software delivery. • Identify common engineering blockers and pain points, writing helper tools or automation scripts to optimize team developer experience (DX). • Oversee and coordinate the team's response to critical production bugs or infrastructure incidents. • Coordinate workflows, code standards, and deliverables for external contributors and specialized development vendors.

🎯 Requirements

• 3+ years of experience directly managing, mentoring, or leading data engineers within an agile organization. • Prior experience as an individual contributor in engineering, testing, and shipping robust code for at least one large-scale data application or service. • Demonstrated experience collaborating within cross-functional Agile/Scrum product teams. • Experience with GCP, AWS or other similar cloud computing platforms. • Experience managing high availability, distributed and fault tolerant applications, services and APIs. • Proficiency in SQL and at least one other general purpose programming language such as Python. • Hands-on experience working with modern version control systems (primarily Git).

🏖️ Benefits

• Health insurance • 401(k) matching • Paid time off • Wellness programs

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