Data Engineer 3

🔥 2 minutes ago

🏄 California, Colorado, +12 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🦞 Maine – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $79k - $185.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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NBCUniversal

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

📱 Media

Media • Entertainment

NBCUniversal is a leading global media and entertainment company known for creating and distributing content across a variety of platforms. With over 100 years of experience, it is a part of Comcast and encompasses brands like Peacock, NBC Sports, and many others to educate, entertain, and empower audiences around the world. The company is involved in television broadcasting, film production, and theme parks, and is also recognized for its initiatives in technology and corporate social responsibility. NBCUniversal is committed to innovation and social impact, making it a vibrant workplace for media and tech professionals.

📋 Description

• Architect, design, and build high-performance, scalable data pipelines for large-scale data processing • Develop complex Big Data ETL workflows using Databricks Delta Live Tables • Design and implement data lake architectures using Delta Lake and Apache Iceberg • Define and enforce data engineering best practices for quality, integrity, reliability, and performance • Implement observability and monitoring, including data cataloging, lineage, and metadata management • Contribute to peer reviews, knowledge sharing, production support, incident resolution, and change management • Apply code management and version control best practices • Produce documentation including data flows, lineage diagrams, and architecture details • Create unit and integration tests following TDD principles • Own critical batch ETL components and communicate data models and design decisions to stakeholders • Balance long-term architecture with immediate business needs • Build semantic layers and support customer-facing self-service analytics solutions • Design data architectures and pipelines to standardize, transform, and protect data integrity • Engineer ingestion frameworks for varied data types and monitor data quality • Develop data consumption methods including APIs, database views, and data extracts • Implement solutions across Kubernetes, Teradata, AWS, and Databricks • Select storage platforms based on data sensitivity, privacy requirements, and access needs • Apply data lineage and transformation rules for change management and issue resolution • Collaborate with cross-functional teams to improve data sourcing, processing, quality, and efficiency • Exercise independent judgment and discretion in significant technical matters • Maintain regular, consistent, and punctual attendance • Perform additional duties and responsibilities as assigned

🎯 Requirements

• Experience in Data Engineering • 5–7 years of relevant work experience • Proficiency in Python and PySpark • Strong understanding of SQL • Hands-on experience building large-scale data pipelines with Apache Spark • Experience designing robust data architectures on AWS • Understanding of data lake architectures and open table formats such as Delta Lake and Apache Iceberg • Experience or knowledge of Databricks Delta Live Tables • Hands-on experience with Databricks and/or Snowflake preferred • Understanding of data warehouse modeling paradigms • Understanding of cloud-based architectures • Strong problem-solving skills • Understanding of semantic layer technologies such as Looker, Tableau, Snowflake, and Databricks • Experience with data quality, lineage, metadata management, observability, and monitoring • Experience with APIs, database views, and data extracts • Experience with Kubernetes, Teradata, AWS, and Databricks • AWS Certified Developer Associate certification listed • Databricks Certified Data Engineer Associate certification listed • SnowPro Advanced: Data Engineer certification listed • Bachelor's degree preferred; Comcast may consider coursework and experience or extensive related professional experience instead • Ability to maintain regular, consistent, and punctual attendance • Must be able to work nights and weekends and variable schedules as necessary • Ability to exercise independent judgment and discretion in significant matters

🏖️ Benefits

• Bonus eligibility for most non-sales positions • Comcast benefits for eligible employees • Personalized benefits options and expert guidance • Always-on tools supporting physical, financial, and emotional well-being • Opportunities to work across a variety of teams, locations, and resources • Flexible schedule for nights, weekends, or variable schedules as required