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Data Engineer - job 1 of 2

Company Description

We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.

Job Description

As part of the global Operations & Technology organization, the D&A team is focused on data and analytics strategies for the future. We support NBCU’s vast portfolio of brands - from broadcast, cable, news, and sports networks to film studios, world-renowned theme parks, and a diverse suite of digital properties. We take pride in supplying our business groups with data to advise and shape strategic business decisions related to our content.

We are seeking a Data Engineer who is eager to contribute to building the next generation of data pipelines and applications to support our generative AI initiatives. This role is a perfect match for those who are early in their data engineering career, a strong interest in leveraging generative AI technologies and have a "hands-on" approach to coding, building, and cleansing datasets to derive actionable insights.

Responsibilities:

  • Engage with business leaders, engineers, and product managers to define and meet data requirements.
  • Work closely with technology teams to execute ETL/ELT processes, leveraging cloud-native principles to manage data from diverse sources.
  • Participate in the design, construction, and scaling of data pipelines, integrating data from various sources, including internal systems, third-party platforms, and cloud environments.
  • Support internal process optimizations by automating workflows, enhancing data delivery, and redesigning infrastructure to boost scalability.
  • Apply appropriate design patterns to ensure performance, cost-efficiency, security, scalability, and a positive end-user experience.
  • Be actively involved in development sprints, demonstrations, and retrospectives, contributing to the deployment and release processes.
  • Cultivate relationships with IT support teams to ensure the smooth deployment of work products.

Qualifications

  • 3+ years of experience in data engineering, demonstrating a foundational understanding of data modeling, ETL/ELT principles, and data warehousing.
  • 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), 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

Desired Characteristics:

  • A Bachelor’s degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or a related quantitative discipline is preferred.
  • Effective communication skills, capable of working collaboratively across diverse teams and navigating a large, matrixed organization efficiently.
  • Action-oriented – You're constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, integrity, and building trust

Additional Requirements:

  • Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.

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: $100,000 - $135,000

We are accepting applications for this position on an ongoing basis.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. 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.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

For LA County and City Residents Only:  NBCUniversal will consider for employment
qualified applicants with criminal histories, or arrest or conviction records, in a manner
consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance
Initiative For Hiring Ordinance, the Los Angeles' County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

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Average salary estimate

$117500 / YEARLY (est.)
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$100000K
$135000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, NBCUniversal

At NBCUniversal, we're looking for a talented Data Engineer to join our dynamic team located in Englewood Cliffs, New Jersey. This is an exciting opportunity for someone eager to make their mark in the world of data analytics and engineering. As a part of our global Operations & Technology organization, you'll play a crucial role in building the next generation of data pipelines and applications that support our innovative generative AI initiatives. Your hands-on approach will be essential as you engage with business leaders and technology teams alike to define and meet data requirements. In this role, you'll work closely with a variety of data sources and leverage cloud-native principles to manage and optimize data through ETL and ELT processes. You'll participate actively in the design and scaling of efficient data pipelines that deliver actionable insights to various business units across our extensive portfolio of beloved brands like NBC, Telemundo, and Peacock. If you're passionate about using your skills to contribute to a diverse and inclusive culture while supporting our mission of creating world-class content, then this Data Engineer position at NBCUniversal could be the perfect fit for you.

Frequently Asked Questions (FAQs) for Data Engineer Role at NBCUniversal
What are the responsibilities of a Data Engineer at NBCUniversal?

As a Data Engineer at NBCUniversal, your main responsibilities include engaging with business leaders to define data requirements, executing ETL and ELT processes, designing and constructing data pipelines, and automating workflows for process optimization. You'll also collaborate with diverse teams and participate in the deployment of data solutions.

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What qualifications are needed for a Data Engineer position at NBCUniversal?

To qualify for a Data Engineer role at NBCUniversal, you should have at least 3 years of experience in data engineering, knowledge of data modeling and warehousing principles, and proficiency in programming languages such as Python and SQL. Experience with cloud-based platforms like AWS and GCP is also necessary.

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What can I expect from the work environment as a Data Engineer at NBCUniversal?

The work environment for a Data Engineer at NBCUniversal is fully remote, allowing you to work from your own space. You'll be part of a culture that values diversity and inclusion, with support for collaboration across teams and flexible learning opportunities.

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How does NBCUniversal support career development for Data Engineers?

NBCUniversal encourages the growth of its employees by providing a variety of resources for career development. Data Engineers can expect opportunities for learning through hands-on project experience, participation in development sprints, and access to courses that enhance their skills in data engineering and analytics.

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What is the salary range for a Data Engineer at NBCUniversal?

The salary range for a Data Engineer position at NBCUniversal ranges from $100,000 to $135,000, which is competitive within the industry. Additionally, NBCUniversal offers various company-sponsored benefits, including healthcare, a 401(k) plan, and paid leave.

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Common Interview Questions for Data Engineer
Can you explain what ETL and ELT processes are in a Data Engineer role?

ETL stands for Extract, Transform, Load, while ELT stands for Extract, Load, Transform. In a Data Engineer role, you'll use ETL to extract data from various sources, transform it into a structured format, and then load it into a data warehouse. ELT, on the other hand, loads the raw data first before transforming it, often benefiting from cloud data technologies for more efficient processing.

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What programming languages should a Data Engineer at NBCUniversal be proficient in?

A Data Engineer at NBCUniversal should be proficient in programming languages like Python and SQL, as they are essential for building data pipelines, performing data manipulation, and executing queries to extract insights from large datasets.

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How do you ensure data quality in your data pipelines?

To ensure data quality, you must implement validation checks and monitoring procedures throughout the data pipeline process. This includes data cleaning during the transformation stage, setting up alerts for data anomalies, and regularly conducting audits on the data to maintain accuracy and integrity.

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Describe a challenging data engineering project you've worked on.

In describing a challenging project, focus on your role in the project, the specific challenges you faced, the technologies you used, and the outcome. Highlight your problem-solving skills and how you collaborated with others to achieve success.

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Can you explain the concept of data normalization?

Data normalization is the process of organizing data to reduce redundancy and improve data integrity. This is typically done through designing database schemas that distribute data across multiple tables, which can make data retrieval more efficient while ensuring consistent data relationships.

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What cloud platforms do you have experience with?

Be prepared to discuss the specific cloud platforms you have experience with, such as AWS, Google Cloud Platform, or Azure. Mention the services you're familiar with, like data storage solutions, big data tools, or managed database services, and highlight any relevant projects you've completed using these platforms.

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How important is collaboration in a Data Engineer role?

Collaboration is crucial in a Data Engineer role due to the need to work with various stakeholders, including data analysts, business leaders, and IT teams. Effective communication and teamwork enhance data requirements understanding, leading to more effective data solutions that meet business needs.

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What tools or frameworks do you use for workflow orchestration?

Mention specific tools or frameworks you've used, such as Apache Airflow, to automate and coordinate complex data workflows. Explain how these tools help streamline processes, schedule tasks, and improve the efficiency of data pipeline management.

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How would you handle a situation where data integrity is compromised?

In such a situation, you would first identify the source of the integrity issue, whether it's due to faulty data inputs, processing errors, or system malfunctions. Then, you would implement corrective measures—such as rerunning ETL processes, updating validation rules, and documenting the incident to prevent recurrence.

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What is your experience with CI/CD in data engineering?

Your answer should showcase any experience or familiarity with Continuous Integration and Continuous Deployment (CI/CD) principles, discussing how you've implemented these practices to ensure smooth and efficient updates to data engineering solutions. Highlight the advantages of CI/CD in enhancing collaboration and reducing deployment errors.

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We are in business to create and deliver content so compelling it entertains, informs and shapes our world. We believe that the talent, creativity and diversity of our people are our greatest resources. We take our business seriously, but do no...

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Full-time, remote
DATE POSTED
December 24, 2024

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