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Data Engineering Manager

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: SmartRecruiters, Inc.
Full Time position
Listed on 2026-09-26
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
  • Business Segment:
    International Networks & DTC
Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service.

We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, Dream Works Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood.

NBCUniversal is a subsidiary of Comcast Corporation. Visit  for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

The Data Engineering Manager will be a hands‑on data engineering role supporting Universal+, Hayu, and the wider NBCUniversal International Networks & Direct-to-Consumer business, with a particular focus on local delivery and stakeholder needs in Florida and Latin America. Reporting to the Senior Director, Data Platform, this role will build and maintain reliable data solutions across Snowflake, cloud data platforms, ETL/ELT pipelines, integrations, orchestration, and reporting environments.

The role will also coordinate local data initiatives, manage dependencies and delivery plans, and act as a key bridge between business stakeholders, product teams, analytics teams, vendors, and the wider International Data Platform team.

Responsibilities:

  • Hands‑on Data Engineering: Design, build, test, deploy, and support reliable data pipelines, data models, integrations, and reporting datasets across Snowflake and related cloud data platform services.
  • Local Data Delivery: Support local business and product priorities by translating stakeholder requirements into practical, maintainable data engineering solutions.
  • Snowflake & Data Platform Support: Develop and maintain Snowflake objects, SQL transformations, data models, secure access patterns, performance tuning, and cost‑conscious platform usage.
  • Integrations & Automation: Build and support integrations between the data platform and internal or third‑party systems, including analytics, CRM, marketing technology, partner platforms, finance systems, content systems, and operational tooling.
  • Project Coordination: Coordinate project plans, priorities, dependencies and stakeholder updates for local and regional data initiatives.
  • Stakeholder Management: Act as a local point of contact for product, analytics, finance, marketing, operations, commercial, content, and technology stakeholders, ensuring requirements, priorities, risks, and delivery status are clearly understood.
  • Data Quality, Governance & Support: Monitor and improve data quality, pipeline reliability, documentation, access controls, privacy, security, lineage, and operational support processes.
  • Team

    Collaboration:

    Work closely with data engineers, analysts, product owners, engineering teams, vendors, and…
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