Senior Data Engineer, Data Management – BI

🔥 15 hours ago

🌐 Burundi, United States – Remote

🇧🇮 Burundi – Remote 🇺🇸 United States – Remote

💵 $115k - $145k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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

• Design, build, test, deploy, and maintain scalable data pipelines • Ingest, transform, validate, and publish structured and semi-structured data • Translate business and product requirements into technical designs, data models, integration patterns, and execution plans • Develop reusable, maintainable code focused on performance, testability, observability, and supportability • Build and optimize batch, event-driven, and serverless data processing patterns • Contribute to architecture decisions across data lake, warehouse, orchestration, metadata, API, and application integration patterns • Implement data quality checks, monitoring, alerting, and operational runbooks • Design and maintain CI/CD pipelines, automated testing, deployment workflows, and infrastructure-as-code patterns • Partner with analytics, BI, product, and business teams on data products and reporting solutions • Evaluate source systems, APIs, files, data contracts, and transformation logic • Participate in Agile practices, code reviews, release planning, incident response, and retrospectives • Mentor engineers and promote engineering best practices • Create and maintain technical documentation, architecture diagrams, data lineage notes, implementation guides, and support materials

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field, or equivalent practical experience • 5+ years of hands-on data engineering experience • Strong experience with data modeling, data architecture, ETL/ELT patterns, metadata, data quality, and data warehouse or data lake methodologies • Hands-on experience with AWS S3, Lambda, Athena, EMR or EMR Serverless, Glue, Step Functions, SNS, SQS, or comparable technologies • Strong programming experience in Scala, Java, SQL, or similar languages • Experience with Spark, Databricks, Snowflake, Apache Iceberg, Hive, Redshift, Postgres, SingleStore, or comparable technologies • Experience designing and maintaining CI/CD pipelines, source control workflows, automated testing, and deployment practices using GitHub Actions or similar tools • Strong understanding of Agile delivery, DevOps practices, incident response, production support, monitoring, and performance tuning • Strong analytical and problem-solving skills • Excellent written and verbal communication skills • Equivalent practical experience may substitute for the bachelor's degree

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) • Paid leave • Tuition reimbursement • Discounts and perks • Fully remote work arrangement