Senior Staff Data Engineer

NBCUniversal Logo

NBCUniversal

๐Ÿ’ต $150k-$185k
๐Ÿ“Remote - United States

Summary

Join NBCUniversal's Data & Analytics team as a Sr. Staff Data Engineer to build next-generation data solutions. You will lead data model design from multiple sources, implement optimal design patterns, and collaborate with various teams. Responsibilities include data transformation, pipeline building, and mentoring junior engineers. The ideal candidate possesses 12+ years of data engineering experience, expertise in SQL and cloud technologies, and strong communication skills. This fully remote position offers competitive benefits, including medical, dental, vision, 401k, and paid leave. The salary range is $150,000-$185,000 (bonus eligible).

Requirements

  • 12+ years of progressive experience in data engineering,ย warehousing, data modeling and development building of data and analytics products
  • 10+ years of experience with SQL, data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts
  • 8+ years of experience in a business-facing analytical role and proven track record of related success
  • 8+ years of experience with data visualization tools (Power BI, Tableau, MicrosStrategy, and/or related)
  • 8+ years working with data modelling and semantic/virtualization layer tools (DBT, AtScale, etc)
  • Knowledge of cloud technologies such as AWS, GCP, and/or Azure
  • Knowledge of data modeling, management fundamentals and data storage principles
  • Experience in building data pipelines using Python/SQL or similar programming languages
  • Demonstrated experience in Airflow, Luigi or similar orchestration engines

Responsibilities

  • Lead the process of building and designing data models that derived from multiple sources i.e., Manipulating data, flat files, and raw information into cohesive data sets for our stakeholders to easily use and incorporating the results into actionable insights
  • Implement appropriate design patterns while optimizing performance, cost, security, and scale and end user experience
  • Collaborate with business leaders, engineers, and product managers to understand data needs
  • Interface with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles
  • Become a subject matter expert for data engineering related technologies and designs
  • Coach and guide others within the D&A organization to build scalable pipelines and semantic data models based on foundational data engineering principles
  • Participate in development sprints, demos, and retrospectives, alongside releases and deployment
  • Build and manage relationships with supporting IT teams in order to effectively deliver work products to production
  • Transform large volumes of complex data into digestible bits to enable technical/non-technical end users make data driven decisions while optimizing the user experience and adhering to branding standards
  • Act as a subject matter expert in the design and recommendation of data modeling methodologies and approaches
  • Remain up to date with latest data standards, systems and future forward tools and languages

Preferred Qualifications

  • Powerful Storytelling with large, complex datasets
  • Strong experience in SQL, DB and ELT tools such as Snowflake, Redshift
  • Experience or previous exposure to federated query engines (Trino / Starburst)
  • Familiarity with cloud solutions and cloud storage (AWS S3, GCS, Azure Data Lake Storage)
  • Media-focused - Strong working knowledge of media including broadcast TV, digital, and mobile
  • Communicator โ€“ You have excellent verbal and written skills with the ability to communicate ideas effectively across all levels of the organization, both technical and non-technical
  • Action-oriented โ€“ You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust
  • Strong understanding of Agile principles and best practices

Benefits

  • Medical, dental and vision insurance
  • 401(k)
  • Paid leave
  • Tuition reimbursement
  • A variety of other discounts and perks

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