Senior Data Engineer

NBCUniversalNew York, NY
Hybrid

About The Position

As part of the Media Group Decision Sciences team at NBCUniversal, the Senior Data Engineer will be responsible for creating a connected data ecosystem that unleashes the power of streaming data. This role involves gathering data from across all customer/prospect journeys in near real-time to enable fast feedback loops across territories. This data ecosystem, combined with the strategic data platform, is central to making intelligent customer and business decisions. The Senior Data Engineer will share responsibilities in the development and maintenance of data pipelines that facilitate data-driven machine learning, and support ongoing operations related to the Media Group data ecosystem. NBCUniversal is a leading media and entertainment company, a subsidiary of Comcast Corporation, focused on creating world-class content and experiences across film, television, streaming, theme parks, and consumer products. The Media Group supports brands like Peacock, NBC, Bravo, NBC Sports, and NBCU International, emphasizing collaboration, innovation, and a culture of respect.

Requirements

  • 3+ years relevant experience in Data Engineering
  • Programming skills in one or more of the following: Python, Java, Scala
  • Proven ability to write reusable/efficient code to automate analysis and data processes
  • Intermediate level of experience querying relational databases with SQL
  • Demonstrated experience implementing scalable, distributed, and highly available systems in a cloud ecosystem
  • Ability to work with graph-based data workflows (e.g., Apache Airflow)
  • Ability to develop data catalogs while ensuring clarity and correctness of key business metrics
  • Experience building streaming data pipelines using Kafka, Spark or Flink
  • Data modelling experience
  • Bachelor’s degree with a specialization in Computer Science, Engineering, Physics, other quantitative fields or equivalent industry experience

Nice To Haves

  • Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
  • Experience building and deploying ML pipelines: training models, feature development, regression testing
  • Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production
  • Experience with large-scale data for analytics (media experience a plus)
  • Ability to work effectively across functions, disciplines, and levels
  • Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills
  • Ability to surface and navigate differing perspectives constructively to drive alignment and sound technical decisions
  • Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal

Responsibilities

  • Collaborate with a high-performance team of Data Engineers
  • Contribute to and facilitate design, build, testing, scaling, and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements
  • Deliver observable, reliable and secure software, embracing "you build it you run it" mentality, and focus on automation and GitOps
  • Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies
  • Take an active role in story definition, assisting business stakeholders with acceptance criteria
  • Work with Principal Engineers to share and contribute to the broader technical vision
  • Develop and champion best practices, striving towards excellence and raising the bar within the department
  • Develop solutions combining data blending, profiling, mining, statistical analysis, and machine learning, to better define and curate models, test hypothesis, and deliver key insights
  • Operationalize data processing systems

Benefits

  • medical insurance
  • dental insurance
  • vision insurance
  • 401(k)
  • paid leave
  • tuition reimbursement
  • a variety of other discounts and perks
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