Senior Data Engineer - Data Mgmt & BI (Remote)

NBCUniversal

United States

Remote

USD 115,000 - 145,000

Full time

8 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k)
Paid leave
Tuition reimbursement

Job summary

NBCUniversal is seeking a Senior Data Engineer, Data Mgmt and BI to design, build, and support scalable data solutions across the organization. You will partner with product, analytics, engineering, and business stakeholders to translate needs into reliable technical data pipelines and governance.

The role emphasizes hands-on engineering, mentorship, and strong governance in a fast-moving environment. The ideal candidate will develop data models, CI/CD pipelines, and production-ready data

Qualifications

  • Bachelors or equivalent practical experience in CS, engineering, or data analytics.
  • 5 years hands-on data engineering: design, build, test, deploy, support pipelines.
  • Experience with data modeling, ETL/ELT, data quality, and data lake/warehouse.
  • Cloud data engineering with AWS services and modern data platforms.

Responsibilities

  • Design, build, test, deploy, and maintain scalable data pipelines ingesting data from multiple sources.
  • Translate business needs into technical designs, data models, and workflows for analytics and operations.
  • Develop reusable, high-quality code with emphasis on performance, observability, and long-term support.
  • Build batch, event-driven, and serverless data processing using cloud-native services.

Skills

Scala/Java/SQL
Cloud data engineering
Data modeling
CI/CD pipelines

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or related field

Tools

AWS S3
Lambda
Athena
EMR/EMR Serverless
Glue

Job description

NBCUniversal is seeking a Senior Data Engineer, Data Mgmt and BI to design, build, and support scalable data solutions across the organization. You will partner with product, analytics, engineering, and business stakeholders to translate needs into reliable technical data pipelines and governance.

The role emphasizes hands-on engineering, mentorship, and strong governance in a fast-moving environment. The ideal candidate will develop data models, CI/CD pipelines, and production-ready data

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