Data Engineer – Engineering & Operations

NBCUniversal

Data Engineer designing and operating scalable data pipelines for NBCUniversal’s data collaboration ecosystem. Supporting clean room environments and implementing robust data solutions.

Posted 7/1/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $115,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowCloudPySparkPythonSQL

About the role

Key responsibilities & impact

Design, build, and operate scalable data pipelines, clean room environments, identity workflows, and privacy-safe data integrations that support NBCUniversal’s data collaboration ecosystem
Support partner onboarding into clean room environments across platforms
Configure and manage clean room environments, including data access, environment setup, platform configuration, and release validation
Implement privacy-preserving controls such as aggregation thresholds, anonymization techniques, approved query patterns, and output validation checks
Deploy and manage Python-based libraries, templates, and reusable components within the clean room and data platform ecosystem
Design, implement, and enforce granular role-based access control policies across data platform environments
Design, build, and operate scalable ELT pipelines using advanced SQL, Snowpark, PySpark, dbt, or similar technologies
Implement and evolve identity resolution logic that maps internal NBCU data to third-party identifiers

Requirements

What you’ll need

Bachelor’s degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, Data Engineering, or a related technical field
3+ years of experience in data engineering, including building and operating production data pipelines, data models, and data products
Deep proficiency in advanced SQL and Python for data processing, automation, pipeline development, validation, and operational support
2+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologies
Experience building scalable ELT pipelines using tools such as Airflow, dbt, Snowpark, PySpark, or similar technologies

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data Pipeline DevelopmentData ModelingData Product DevelopmentPrivacy-Preserving ControlsRole-Based Access ControlAggregation ThresholdsAnonymization TechniquesOutput Validation ChecksIdentity Resolution LogicData Integration