
Data Engineer – Engineering & Operations
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in New York.
• Create, develop, and maintain scalable data pipelines, clean room environments, identity workflows, and privacy-compliant data integrations to enhance NBCUniversal’s data collaboration framework.
• Assist in onboarding partners into clean room environments across various platforms.
• Set up and oversee clean room environments, which includes managing data access, environment configuration, platform setup, and validation of releases.
• Apply privacy-preserving measures such as aggregation thresholds, anonymization techniques, approved query patterns, and validation checks on outputs.
• Deploy and manage Python-based libraries, templates, and reusable components within the clean room and data platform landscape.
• Design, implement, and uphold detailed role-based access control policies throughout data platform environments.
• Construct, develop, and manage scalable ELT pipelines utilizing advanced SQL, Snowpark, PySpark, dbt, or comparable technologies.
• Develop and refine identity resolution logic that aligns internal NBCU data with third-party identifiers.
• Bachelor’s degree or equivalent hands-on experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, Data Engineering, or a relevant technical discipline.
• Over 3 years of experience in data engineering, encompassing the development and operation of production data pipelines, data models, and data products.
• Strong expertise in advanced SQL and Python for data processing, automation, pipeline development, validation, and operational support.
• More than 2 years of practical experience with cloud data platforms such as Snowflake, Databricks, or similar technologies.
• Proven experience in creating scalable ELT pipelines using tools like Airflow, dbt, Snowpark, PySpark, or similar technologies.
• Medical, dental, and vision insurance.
• 401(k) plan.
• Paid leave.
• Tuition reimbursement.
• A range of additional discounts and perks.
KANINI
Red Hat
Index Analytics LLC
Get handpicked remote jobs straight to your inbox weekly.