Senior Data Engineer — Hybrid & Scalable Data Pipelines

NBCUniversal

New York (NY)

Hybrid

USD 115,000 - 145,000

Full time

14 days+

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Job summary

NBCUniversal in New York City is seeking a Senior Data Engineer to design, build and maintain data ingestion and processing pipelines for large-scale datasets. You will enable meaningful models, alerts, reports and visualizations across internal and partner systems.

The role requires 5+ years in big data, cloud platforms (Snowflake/Databricks/AWS/GCP), and strong collaboration with data and software engineers.

Qualifications

Bachelor's degree in computer science, information technology, or a relevant field.
5+ years of experience in working with big data: ETL, pipeline building, analysis and code.
Experience implementing scalable, distributed, highly available data systems using Snowflake, Databricks, GCP, AWS.
Skilled with CI/CD pipelines and test automation.
Experience with data visualization tools and techniques.
Experience with Site Reliability Engineering (SRE) practices for cloud environments.
Familiarity with Agile methodologies (Scrum/Kanban).
Clear communication across diverse nationalities.

Responsibilities

Design, develop & maintain data systems and pipelines focused on reliability and testability.
Assist in feature creation for modeling through data cleansing and transformation.
Define business requirements with stakeholders including KPIs and acceptance criteria.
Access data from big data and relational sources for analytics projects.
Maintain knowledge of data structures and upgrade planning.
Collaborate on real-time and batch data solutions within streaming architectures.
Ensure CI/CD deployment with maintained repositories and reviews.
Participate in design reviews and knowledge-sharing sessions.
Leverage observability to diagnose issues and implement fixes.