Job Abstract

#xa 0;Help coordinate with Advanced Analytics team, work with other onsite/offshore Data Engineers and own deliverables. Build out data engineering pipelines and optimizations of a cloud-based Data Lake, Data Warehouse, and File System. Identify pipeline bottlenecks as well as opportunities for optimizations and create implementation plans. Work in an onsite and offshore team model to build out ET - Ls to support Business Intelligence initiatives, including real-time processing, distributed comp... more details

Job Description

Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal, and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequaled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth, and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

NBCU Entertainment is looking for a motivated Lead, Data Engineering that can deliver results in a fast-paced environment. In this position, you will Analyze various data sources and pipelines, Design and build Data Engineering pipelines for NBCU Entertainment networks including NBC Entertainment, NBC Sports, Bravo, E!, Oxygen, Syfy, USA, Universo and Telemundo.

The ideal candidate is an experienced data engineer who has previous success designing, building & modernizing data transformation at a large direct-to-consumer organization. This person must have had success in building and maintaining Data Engineering pipelines to solve complex problems across areas such as advanced analytics, marketing, product, monetization & forecasting. This candidate will also be expected to deploy machine learning models at scale for consumer-facing products with millions of users in conjunction with App Support Teams.

Essential Responsibilities

Help coordinate with Advanced Analytics team, work with other onsite/offshore Data Engineers and own deliverables.
Build out data engineering pipelines and optimizations of a cloud-based Data Lake, Data Warehouse, and File System.
Identify pipeline bottlenecks as well as opportunities for optimizations and create implementation plans.
Work in an onsite and offshore team model to build out ETLs to support Business Intelligence initiatives, including real-time processing, distributed computing, & containerized solutions.
Help in Data QA and ensure required auditing and alerts are implemented for every data engineering pipeline.
Create, define, and document processes & help in data governance and estimation initiatives within the organization.

Qualifications

Bachelors or Masters degree required from a quantitative field from such as Data Science, Engineering, Mathematics or Statistics
10+ years of applied experience in Data Engineering, including but not limited to building Data Pipelines, Orchestration, Data Modeling & Lakehouse.
Experience with processing large datasets (100s of TBs) and building code using SQL, Python, pySpark & Airflow.
Strong working experience with variety of data sources such as APIs, real-time feeds, structured and semi structured file formats.
Strong Experience working on AWS cloud services like S3, EC2, EMR & Secrets and cloud platforms like Snowflake Datawarehouse & Databricks
Experience implementing CI/CD pipelines for Data Engineering with GIT and/or similar repo tools.
Expert level experience in distributed processing frameworks such as Spark and/or Hadoop with skills for building and optimizing pipelines on Databricks or similar platforms.
Knowledge and/or experience integrating 1st, 2nd and 3rd party data and using data clean rooms technology & policies.
Strong interpersonal skills and ability to partner and earn the trust of stakeholders.
Experience in large media, technology, or other direct to consumer business driven companies.

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

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. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $130,000 - $170,000, Bonus eligible

Additional Information

NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing [email protected].

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Data Engineer Jobs: $15-$57/Hr. Multiple Positions Hiring Immediately

Universal City

Hiring Immediately! Multiple Positions Available. $15-$57/Hr.