Senior Data Engineer

Company Description

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.

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. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world. Click here to learn more about Comcast NBCUniversal’s commitment and how we are making an impact.

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 unequalled 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.

In the Senior Data Engineer role, the Playback Analytics Engineering team at Peacock is looking for a passionate problem solver who’s looking to build the next generation of data pipelines and applications. You will be owning full segments of a data engineering project, managing expectations, and driving delivery with the appropriate stakeholders while maintaining the consensus for engineering architecture. As part of the Global Video Engineering organization, the PAE team collects client-side and server-side telemetry for Peacock and prepares it for analytics workloads.

Essential Functions (Responsibilities):

• Design, build, and scale data pipelines across a variety of source systems and streams, distributed/elastic environments, and downstream applications.
• 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.
• Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience.
• Maintain ownership of a given pipeline or domain and raise flags to senior leadership when appropriate regarding architectural concerns.
• Provide mentorship to junior members of the engineering team to align to overall practice standards and approach.
• Participate in development sprints, demos, and retrospectives, as well as release and deployment.
• Build and manage relationships with supporting IT teams in order to effectively deliver work products to production.

Qualifications

• Bachelor’s degree in Computer Science or a relevant field or equivalent work experience
• Minimum of five (5) years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
• Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment
• Experience with distributed data processing systems like Spark, and proficiency in SQL
• Experience owning and managing a full pipeline within a large project, including interfacing with business stakeholders, architects and senior leadership to effectively communicate status and concerns.
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions: Product, Engineering and Technical Operations
• Familiarity with ML and MLOps concepts and technologies, such as model training, deployment, and monitoring.

Desired:

• Analytical – You have experience in delivering data analytics solutions that promote data discovery.
• Experience with Databricks, Snowflake, Amazon Web Services, or related cloud platforms a plus
• Understanding of big data technology stacks (Hive / Spark etc.) is a plus.
• Media-focused – Strong knowledge/passion for media including broadcast TV, digital, and film.
• Communicator – You hav