Senior Data Engineer
About The Position
As part of the global Operations & Technology organization, our Data & Analytics (D&A) team is at the forefront of developing data and analytics strategies to future-proof NBCUniversal’s diverse portfolio. This spans broadcast and cable networks, news and sports channels, film studios, theme parks, and digital platforms. Our mission is to empower business units with trusted, scalable data solutions that drive strategic decision-making. We are seeking a Senior Data Engineer who will play a critical role in designing, building, and evolving our data platforms and pipelines. This role is ideal for experienced data engineers who combine strong hands-on technical skills with architectural thinking and technical leadership.
Requirements
- 5+ years of experience in data engineering, demonstrating a foundational understanding of data modeling, ETL/ELT principles, and data warehousing.
- A Bachelor’s degree in computer science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or a related quantitative discipline is preferred.
- Experience with data management fundamentals, data storage principles, and cloud-based data warehouses such as cloud Storage (AWS S3, GCP Cloud Storage, Azure Blob Storage, Iceberg), GCP BigQuery, Snowflake, or similar platforms.
- Proficiency in building data pipelines using Python/SQL.
- Demonstrate experience with workflow orchestration tools like Airflow, or a willingness to learn.
- Experience in applying CI/CD principles and processes to data engineering solutions.
- General understanding of cloud data engineering design patterns and use cases
Nice To Haves
- Strong problem-solving skills and ability to operate in ambiguous environments.
- Demonstrated interest in mentoring and developing other engineers.
Responsibilities
- Lead the design, development, and scaling of complex data pipelines and platforms.
- Partner with business leaders and engineering teams to translate requirements into production-ready data solutions.
- Own end-to-end data solutions including modeling, performance, reliability, and cost optimization.
- Apply cloud-native design patterns to ensure scalability, security, and maintainability.
- Implement CI/CD, testing, monitoring, and data quality best practices.
- Provide technical mentorship to junior team members by leading design reviews, conducting thoughtful code reviews, and sharing best practices to raise the overall quality and consistency of data engineering solutions.
- Actively participate in agile ceremonies and collaborate with platform and IT teams.
Benefits
- This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
