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Sr. Staff Data Engineer - job 3 of 7

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.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

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

The Data Management and BI Team is seeking a Sr. Staff Data Engineer to join our team. We build data pipelines to land, profile, and store multiple internal & external datasets. We also build applications that surface this data to support our business partners’ strategic decision-making. We're an AWS shop that uses open-source technologies including Scala, Python, Pandas, Spark, Hive, and Postgres as well as BI tools, such as Tableau and MicroStrategy. We work in a very agile environment, where product specifications are flexible and often change rapidly over time. We're seeking people who are comfortable with ambiguity, can drive towards clarity, and define execution plans. While the key focus for this role is on backend engineering, engineers who have full-stack expertise will be especially considered. 

Responsibilities:

  • Designs, builds, and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources  
  • Contributor to the overall Data Product roadmap by working closely with our business partners to understand their challenges and develop analytical tools to help drive business decisions 
  • Develops technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis 
  • Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies (Big Data, MicroStrategy, Tableau, Python, Spark etc). 
  • Creates and establishes design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flow,s and storage requirements.  
  • Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. 
  • Design, develop, and maintain CI/CD pipelines using GitHub Actions to automate deployment, testing, and monitoring of applications. 
  • Implement and manage serverless solutions (e.g., AWS Lambda, EMR Serverless, Kafka, SNS, SQS, Athena etc.) as part of the application architecture. 
  • Implement infrastructure as code (IaC) practices using tools like Terraform, AWS CloudFormation, or similar to manage cloud infrastructure. 
  • Work with development teams to set up automated testing frameworks, ensuring high test coverage and code quality. 
  • Must understand the basics of relational data modeling and be able to clearly articulate the reasons for using to non-relational systems in our architecture.  Experience in desired but relevant experience in any of the following is acceptable: Singlestore, MySQL, Redshift, Athena, MSSQL Server, Oracle.  
  • Decent understanding for the digital media ad sales business and ad serving technologies with experience working with ad serving transactional data logs or Nielsen demographic data. 
  • Educate and inform business partners on architecture, capabilities, best practices and solutions to build out future enhancements 
  • Assist in analyzing business requirements, source systems, understand underlying data sources, transformation requirements, data mapping, data model and metadata for reporting solutions 
  • Writing easily understood documentation and architecture diagrams and keeping them up to date as code and frameworks change over time. 

Qualifications

Basic Requirements:

  • Strong Computer Science/Engineering/Information Systems background  
  • 10+ Years of Experience in Data Modeling, Data architecture, Data Quality, Metadata, ETL, and Data Warehouse methodologies and technologies.  
  • 5+ years experience with AWS technologies. 
  • Strong experience using Python and Pandas in an AWS Lambda framework is highly desired.  Experience using EMR and/or DataBricks or the ability to read EMR code and translate it into Lambdas. 
  • Proven experience (3+ years) in designing and managing CI/CD pipelines, specifically using GitHub Actions. 
  • Demonstrated experience with Python, APIs, Spark, and Scala.
  • Experience with with advanced SQL, Linux, MicroStrategy, Tableau, and Pandas.
  • Strong problem-solving skills.  
  • Strong oral and written communication and influencing skills, with the ability to communicate new concepts and drive change in processes and behaviors and to communicate complex technical topics to management and non-technical audiences.  
  • Bachelor’s degree in Engineering, Computer Science, Information Systems or related field with 10+ years of relevant experience.  

Desired Characteristics:

  • 1+ years in Digital Media Publisher Industry with a solid understanding of Digital Research 
  • Experience with various digital platforms such as Omniture (Site Catalyst), Rentrak, comScore, Operative One, Google DoubleClick, Freewheel, Ad-Juster, MOAT, Nielsen, Facebook, Twitter, etc 
  • Understanding of how to manage code in the Enterprise Git repository with appropriate branching and documentation skills 
  • Ability to design optimized, performant, and visually appealing reports, user interfaces, mockups, and documentation 
  • Ability to read external API documentation and write pipelines to extract data from our partners’ systems 
  • Ability to write and stand up internal API endpoints to share data with other internal teams. 
  • Strong analytical focus, results-oriented, and execution driven.  
  • Ability and desire to work within a cross-functional team environment with people from multiple business units, vendors, countries, and cultures.  
  • Self-driven/self-initiator and resourceful to achieve goals independently as well as in teams and promotes an open flow of information so that all stakeholders are well informed.  
  • Flexibility to adjust to changing requirements, schedules, and priorities.  
  • Ability to work independently under minimum supervision and be proactive in solving issues  
  • Energetic, committed, and solution-focused with the ability to perform under pressure and meet targets  

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: $150,000 - $185,000 (bonus eligible)

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, 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].

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

$167500 / YEARLY (est.)
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$150000K
$185000K

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What You Should Know About Sr. Staff Data Engineer, NBCUniversal

NBCUniversal is on the lookout for a passionate Sr. Staff Data Engineer to join our amazing Data Management and BI Team based in Englewood Cliffs, New Jersey. If you're someone who thrives on building innovative data pipelines, loves working with a variety of internal and external datasets, and believes in transforming raw data into actionable insights, we want you to be part of our journey! In this role, you'll play a crucial part in designing and deploying technology solutions that help our business partners make strategic decisions. We operate in an agile environment where flexibility is key and we embrace change. You’ll be adept with AWS and have a solid foundation in open-source technologies, including Scala, Python, Pandas, and Spark, among others. Your expertise will help us leverage advanced analytics and artificial intelligence to create robust data solutions. We're not just looking for someone who can operate in the backend; if you have full-stack capabilities, that would be a big plus! Your responsibilities will also include implementing CI/CD pipelines, managing serverless solutions, and ensuring our architecture remains robust and scalable. A background in digital media ad sales technologies is a plus, as is the ability to communicate complex topics clearly to both technical and non-technical audiences. If you have a love for storytelling through data and a desire to make a significant impact at a leading entertainment company, this is the opportunity for you! Join us at NBCUniversal where your ideas matter and where we’re committed to diversity, equity, and inclusion.

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

The Sr. Staff Data Engineer at NBCUniversal is responsible for designing and implementing technology solutions that manage and store both structured and unstructured data. This includes building data pipelines, deploying applications, and working closely with business partners to create analytical tools that drive informed business decisions. The role also focuses on ensuring data integrity, implementing CI/CD pipelines, and developing serverless solutions within an AWS framework, making it critical to the organization’s data strategy.

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What qualifications are needed for the Sr. Staff Data Engineer role at NBCUniversal?

Candidates for the Sr. Staff Data Engineer position at NBCUniversal should have a strong background in Computer Science, Engineering, or Information Systems, ideally holding a Bachelor's degree. A minimum of 10 years’ experience in data modeling, architecture, and quality assurance is required, along with at least 5 years of professional experience with AWS technologies. Familiarity with languages and tools such as Python, Scala, Spark, SQL, and BI tools like Tableau is also essential for success in this role.

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How does the team culture work for the Sr. Staff Data Engineer position at NBCUniversal?

At NBCUniversal, the Data Management and BI Team fosters a collaborative and agile culture where flexibility and innovation are encouraged. Team members are expected to work independently while also engaging in cross-functional teamwork. The atmosphere is dynamic, supporting both personal and professional growth, with employees encouraged to contribute ideas that impact the organization's data processes and solutions.

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What technologies will a Sr. Staff Data Engineer use at NBCUniversal?

As a Sr. Staff Data Engineer at NBCUniversal, you will work primarily in an AWS environment, utilizing open-source technologies such as Python, Scala, Pandas, Hive, and Spark. Experience with BI tools like Tableau and MicroStrategy is also beneficial. Additionally, you will implement serverless solutions and manage CI/CD pipelines using tools such as GitHub Actions, further enhancing the data infrastructure and deployment processes.

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Is remote work an option for the Sr. Staff Data Engineer at NBCUniversal?

Yes, the Sr. Staff Data Engineer position at NBCUniversal is designated as fully remote, allowing candidates to work from their own location. This flexibility enables team members to maintain work-life balance while contributing to a leading entertainment company, with access to comprehensive employee benefits such as medical, dental, vision insurance, and more.

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Common Interview Questions for Sr. Staff Data Engineer
Can you describe your experience with AWS technologies as it relates to data engineering?

In response to this question, you can discuss specific AWS services you have used, such as Lambda, EMR, or S3, detailing projects where these tools were instrumental in building data pipelines or managing data storage. Tailoring your answer with examples of how these technologies enhanced performance or efficiency will showcase your expertise.

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How do you approach designing a data pipeline for a new project?

Start by outlining your process, which might include gathering requirements from stakeholders, identifying data sources, and selecting appropriate technology stacks like Python or Spark. Discuss how you assess the needs for scalability and data integrity, and how you ensure that the pipeline is robust and efficient for real-time analytics.

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What are some techniques you use to ensure data quality in your projects?

In answering this question, highlight methods such as validation checks during data ingestion, implementing error logging, and using data profiling techniques to identify inconsistencies. You can also mention the importance of creating thorough documentation to maintain data quality throughout the project lifecycle.

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How have you utilized Python and Pandas in your previous data engineering roles?

Be specific about projects where you leveraged Python and Pandas for data manipulation, transformation, or analysis. Describe how you used these tools to handle large datasets efficiently and any frameworks or libraries that complemented your work, showcasing your technical depth.

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What is your experience with CI/CD pipelines, and how do they benefit data engineering?

Explain your practical experience in setting up CI/CD pipelines, focusing on tools you’ve used such as GitHub Actions. Discuss how CI/CD can improve collaboration, streamline deployment processes, and reduce errors in data applications. Highlight any challenges you’ve overcome in integrating these processes into your workflow.

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Can you explain a challenging data problem you’ve solved and the approach you took?

Choose an example that emphasizes your problem-solving skills. Discuss the nature of the challenge, the steps you took to analyze the situation, and the solution you devised, including any modeling or analytical techniques used. This showcases your ability to think critically about data-related issues.

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How do you keep up-to-date with the latest trends in data engineering and technology?

Mention resources such as industry blogs, webinars, online courses, and professional networking. Explain how staying informed influences your work and helps you implement modern technologies and methods, emphasizing your commitment to continuous learning in the data engineering field.

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Describe your experience working in an agile environment.

Discuss your familiarity with agile methodologies, pointing out specific practices such as daily stand-ups, sprints, and retrospectives. Highlight how you adapt to change and collaborate with cross-functional teams to deliver high-quality data solutions in a fast-paced environment.

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What strategies do you use for data modeling and architecture?

Elaborate on your approach to creating data models, including how you assess business requirements, choose between relational and non-relational systems, and ensure scalability. Discuss any tools or frameworks you've used to maintain optimal architecture in your projects.

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How do you communicate complex technical information to non-technical stakeholders?

Share your strategies for simplifying technical concepts, such as using visual aids, analogies, or plain language. The goal is to ensure that all parties understand the implications of data projects, fostering informed decision-making and collaboration across departments.

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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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