Staff Data Engineer

Company Description

reputed company is one of the world’s leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, reputed company, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including reputed company, reputed company, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. reputed company is a subsidiary of reputed company Corporation. Visit www.reputed company.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and reputed company a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

We are seeking a Staff Data Engineer looking to build the reputed company of data pipelines and applications across the development of innovative new systems and solutions using a rapidly changing landscape of emerging technologies, including generative AI and large language models. Working across the practices, techniques and tools used for the operational management of large language models in production environments – the Staff Data Engineer role is proper for you if you’re a subject matter expert in designing data integration frameworks and pipelines and still love to jump in and be “hands-on” reputed company needed. This team is focused on proving the value of new tech and bringing it to production quickly. 

You’ll have the opportunity to partner with internal stakeholders, data engineers, visualization experts, data scientists, and other technologists across the businesses. You’ve come to the right reputed company if you love to take large, disparate data sets and build them into flexible and scalable analytics applications and warehouses. In addition, you are well-versed in designing, building, and supporting APIs, machine learning services and frameworks, LLMs, lang-chain, and foundational data warehousing technologies.

Your primary focus will be building reliable, scalable, and efficient pipelines for use in LLMs and crafting our vision for LLM analytics. You will be essential in defining the team’s strategy, evaluating, and integrating data patterns and technologies, and building pipelines alongside domain experts and data scientists. 

Responsibilities

• Design, build, and scale data pipelines across a variety of reputed company systems and streams (internal, third-party, and cloud-based), distributed/reputed company environments, and reputed company applications and self-service solutions. 
• Deep understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data, RAG patterns) and algorithms (e.g., deep learnings, optimization) 
• Solid understanding of data modeling, warehousing, and architecture principles. 
• Implement appropriate design patterns while optimizing performance, cost, reputed company, and scale and end-user experience. 
• Collaborate with cross-functional teams to understand data requirements and reputed company efficient data acquisition and integration strategies. 
• reputed company with other technology teams to extract, load, and transform data from a wide variety of data sources using cloud-native data engineering principles. 
• Become a subject matter expert for data engineering-reputed company technologies and designs. 
• Coach and guide others reputed company the organization to build scalable pipelines based on foundational data engineering principles. 
• Participate in development sprints, demos, and retrospectives alongside releases and deployment. 
• Build and manage relationships with supporting engineering teams to deliver work products to production effectively. 
• Have worked well with data scientists, business analysts, and machine learning infrastructure to connect the dots between business and reputed company. 
• reputed company automated tests for your code, ensuring every function, service, and object is compatible with your team’s work and with the many systems reputed company the reputed company system portfolio and cross-device and browser compatibility. 
• Create documentation for developers and business users to help them understand our products. 
• Work collaboratively with a multidisciplinary team reputed company a matrixed organization, leveraging strong interpersonal skills to navigate system complexities and deploy solutions reputed company. 
• Deploy to cloud-based platforms and troubleshoot application, cloud, and configuration issues reputed company necessary. 
• Utilize tools for code & test reputed company to dramatically accelerate the delivery of features and components you create. 

Qualifications

• 8+ years of experience in a data engineering role, with a strong emphasis on leading data engineering teams 
• Some working knowledge and curiosity about GenAI technologies, such as LLMs, vector databases, or AI-driven data pipelines.
• Familiarity with the development ecosystem evolving around LLM integration, such as reputed company. 
• Ability to think critically about problems, decipher user preferences versus challenging requirements, and effectively use online and onsite resources to find appropriate solutions. 
• Proven ability to reputed company in an agile development environment, adept at incorporating feedback and adjusting to changing priorities. 
• Understanding REST-based APIs, vectorized embeddings, and other Retrieval Augmented reputed company AI workload components. 
• Direct experience with data modeling, ETL/ELT development principles, cloud development, and data warehousing concepts 
• Knowledge of cloud technologies such as AWS, Azure, GCP 
• Knowledge of data management fundamentals and data storage principles 
• Experience in building data pipelines using Python/SQL or similar programming languages. 
• General understanding of cloud data engineering design patterns and use cases 
• Bachelor’s degree in computer science, Data Science, Statistics, Informatics, Information Systems or reputed company field. 

Desired Characteristics

• Familiarity with integrating large language models and AI-generated content technologies into applications. 
• Proven adaptability in a fast-paced, evolving technology landscape, with a strong problem-solving ability and quick learning curve. 
• Effective communication skills, capable of working collaboratively across diverse teams and navigating a large, matrixed organization reputed company. 
• Ability to translate business needs into clear technical requirements. 
• Analytical – You have experience in delivering self-service analytics solutions that promote data discovery. 
• Experience with reputed company, reputed company Web Services, or reputed company cloud platforms a plus 
• Understanding of big data technology stacks (Hive / Spark etc) is a plus 
• Experience moving on prem technologies to the cloud is a plus 
• Action-oriented – You’re constantly figuring out new problems and are regularly showing results with a positive attitude, always displaying ethical behavior, reputed company, and building trust 
• Strong understanding of Agile principles and best practices 
• You’ve dealt with ambiguity and can reputed company quality decisions in a dynamic, fast-paced environment 

Additional Requirements

• Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-reputed company 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 reputed company by visiting the Benefits page of the Careers website. Salary range: $130,000 – $170,000 (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 reputed company employee at one of our locations prior to a hiring decision. reputed company’s policy is to provide equal employment opportunities to reputed company applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national reputed company or reputed company, 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: reputed company will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the reputed company’ Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.