Senior Data Engineer: Data Management & BI

SmartRecruiters, Inc.; United States; Remote; USD 115,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) plan

Paid leave and other benefits

Job summary

NBCUniversal is hiring a Senior Data Engineer, Data Mgmt and BI to design and support scalable data solutions that empower trusted analytics and operational reporting across the organization.

The role collaborates with product, analytics, engineering, and business teams to translate needs into robust data pipelines, data models, and APIs while promoting engineering standards in a fast-paced environment. Fully remote with strong equity in data governance and observability.

Qualifications

• Bachelor’s degree or equivalent in a related field.
• 5+ years of hands-on data engineering experience.
• Experience with data modeling, ETL/ELT, data lake/warehouse concepts.
• Proficiency with AWS data services and cloud architectures.
• Strong programming in Scala/Java/SQL.

Responsibilities

• Design, build, test, deploy, and maintain scalable data pipelines.
• Translate requirements into data models and integration patterns.
• Develop maintainable, testable code with observability in mind.
• Build batch, event-driven, and serverless processing patterns.
• Contribute to data architecture decisions across lake/warehouse and APIs.
• Implement data quality checks, monitoring, and runbooks.

Skills

Data pipelines

Cloud data engineering

SQL/Data modeling

Scala/Java/SQL

Spark/Databricks

CI/CD

Education

Bachelor’s in CS/Engineering or related

Tools

Apache Airflow

GitHub Actions

BI tools (Tableau/Looker)

Job description

NBCUniversal is hiring a Senior Data Engineer, Data Mgmt and BI to design and support scalable data solutions that empower trusted analytics and operational reporting across the organization.

The role collaborates with product, analytics, engineering, and business teams to translate needs into robust data pipelines, data models, and APIs while promoting engineering standards in a fast-paced environment. Fully remote with strong equity in data governance and observability.