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Sr. Staff Data Engineer - job 4 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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What You Should Know About Sr. Staff Data Engineer, NBCUniversal

Are you ready to take your career to the next level with NBCUniversal as a Sr. Staff Data Engineer? In this exciting role, you'll be part of the Data Management and BI Team, where your expertise will shine as you build cutting-edge data pipelines that manage and surface key data for our business partners. NBCUniversal, known for its rich portfolio of entertainment brands, is seeking someone who thrives in an agile environment and is comfortable with evolving project specifications. As a Sr. Staff Data Engineer, you'll design robust backend solutions and work with diverse technologies, including AWS, Python, Scala, and BI tools like Tableau and MicroStrategy. Your responsibilities include collaborating closely with business partners to propose analytical tools that drive impactful decisions. With a focus on innovation, you'll engage in exciting projects, including designing and implementing serverless solutions and CI/CD pipelines. If you have over 10 years of experience in data modeling and a strong understanding of relational and non-relational data systems, this could be the perfect opportunity for you! We're dedicated to fostering a diverse and inclusive workplace, where your voice matters. Join us in creating outstanding content and experiences that resonate with audiences around the world.

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

As a Sr. Staff Data Engineer at NBCUniversal, your main responsibilities include designing and managing technology architecture that captures and utilizes both structured and unstructured data. You will build data pipelines, develop analytical tools, and collaborate closely with business partners. Additionally, you will leverage methodologies like serverless computing and CI/CD practices in your work, ensuring that data systems remain efficient and effective.

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

To qualify for the Sr. Staff Data Engineer role at NBCUniversal, you should have a strong Computer Science or Engineering background with over 10 years in data architecture, data quality, and similar fields. Experience with AWS technologies is crucial, alongside advanced skills in Python, SQL, and data modeling. Exceptional communication and problem-solving skills, as well as a demonstrated ability to work in a fast-paced environment, are also key qualifications.

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Is the Sr. Staff Data Engineer position at NBCUniversal fully remote?

Yes, the Sr. Staff Data Engineer position at NBCUniversal is fully remote. This role allows you to contribute from virtually anywhere, supporting the idea of a flexible work environment while still offering robust benefits such as medical insurance and 401(k) plans.

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What technologies should a Sr. Staff Data Engineer at NBCUniversal be familiar with?

A Sr. Staff Data Engineer at NBCUniversal should be familiar with a suite of technologies including AWS, Python, Spark, Scala, and various BI tools such as Tableau and MicroStrategy. Knowledge of serverless solutions and CI/CD pipeline management using GitHub Actions is also highly desirable.

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How does NBCUniversal support diversity and inclusion for its Sr. Staff Data Engineer role?

NBCUniversal is deeply committed to fostering a diverse, equitable, and inclusive workplace. The company values the diversity of its employees and actively implements initiatives that enhance inclusion and support employee voices. As a Sr. Staff Data Engineer, you'll be part of a culture that encourages collaboration and varied perspectives.

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Common Interview Questions for Sr. Staff Data Engineer
Can you describe your experience with AWS technologies as a Sr. Staff Data Engineer?

When answering this question, focus on your specific experiences using AWS services, such as Lambda, EMR, or DataBricks. Highlight particular projects where you applied these technologies effectively, discussing how they improved data processing or storage efficiency for the organization.

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How do you ensure data integrity in your engineering solutions?

You should discuss techniques for ensuring data integrity, such as implementing validation checks during the ETL process or regular data audits. Providing examples of how you've maintained accuracy in past projects can demonstrate your attention to detail and commitment to quality.

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What experiences do you have with building and managing CI/CD pipelines?

Detail your hands-on experience with CI/CD pipelines, particularly using tools like GitHub Actions. Share specific examples of tools you've used and the outcomes of these projects, focusing on how they streamlined deployment and testing processes in your previous roles.

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How do you handle rapidly changing project specifications in an agile environment?

Discuss your adaptability and techniques for managing changing requirements. Highlight strategies like frequent communication with cross-functional teams or using agile methodologies to reprioritize tasks effectively while still meeting deadlines.

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What strategies do you use for effective communication with non-technical stakeholders?

Emphasize your ability to translate technical jargon into understandable terms for a non-technical audience. Give examples of successful collaborations with business partners where clear communication led to effective data-driven decisions.

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Can you provide an example of how you've leveraged machine learning in your data engineering role?

Illustrate a specific project where you implemented machine learning techniques to improve data processing or analysis. Focus on the technologies used, the challenges faced, and the value these solutions provided to the business.

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Describe your approach to data modeling and why it’s essential in data engineering.

Discuss your experience with various data modeling techniques and how they inform the design of data structures. Emphasize the importance of effective data modeling in ensuring data is well-organized and accessible for analysis and decision-making.

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What has been your experience with using BI tools like Tableau or MicroStrategy?

Share your specific experience working with BI tools, focusing on how you've used them to transform complex data sets into actionable insights. Highlight any dashboards or reports you've created that helped drive business decisions.

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How do you approach designing serverless applications?

Detail your methodology for designing serverless applications, including considerations for scalability, cost-effectiveness, and performance. Provide examples of serverless projects you've worked on and the benefits they provided.

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What methods do you utilize for robust documentation of architecture and processes?

Explain your strategy for documenting system architecture and processes, including the tools used and how you keep documentation current with changes. Stress the importance of clear documentation in maintaining team efficiency and knowledge sharing.

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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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