Senior Data Engineer at NBCUniversal

Orlando, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Warehousing, SQL, Python, PySpark, AWS, ETL, Data Modeling, Data Quality, Collaboration, Data Governance, CI/CD, Airflow, Data Lakes, Data Pipelines, Database Performance

Industry

Entertainment Providers

Description

Company Description COMPANY DESCRIPTION (DEFAULT): VERSANT, Comcast Corporation’s (NASDAQ: CMCSA) planned spin-off, will be a leading independent publicly traded media company 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, subject to the satisfaction of customary conditions. BUSINESS OVERVIEW: At VERSANT Media’s Sports & Entertainment Digital Products division, we’re driven by a shared mission: to innovate, create unforgettable experiences, and connect with fans through the power of technology. Our diverse portfolio brings together industry-leading platforms that serve millions of users across the sports and entertainment landscape. In sports, we empower over 30 million players, coaches, administrators, and fans in 40 countries through more than 25 digital products. These include SportsEngine, the largest youth sports club, league, and team management platform; SportsEngine Play, the first-ever streaming service dedicated to youth and amateur sports; GolfNow, the top online tee time marketplace and golf course operations technology provider; and GolfPass, the ultimate golf membership that delivers exclusive content, tee time benefits, expert instruction, and more. In entertainment, we reach over 50 million movie and TV fans through our trusted digital brands. Our platforms support every stage of the fan journey – from discovering content to enjoying it on the big screen or at home. Our portfolio includes Fandango, the nation’s leading online movie ticketing service, partnering with more than 31,000 U.S. movie screens; Rotten Tomatoes, the iconic destination for movie and TV reviews; and Fandango at Home (formerly Vudu), our on-demand streaming service offering more than 250,000 titles, including new releases, next-day TV, and the largest selection of 4K UHD content in the industry. Together, we’re shaping the future of how people experience the sports they play and the stories they love. This opportunity is within our Fandango group – a collection of trusted entertainment brands that guide over 50 million movie and TV fans throughout their viewing journey. Whether it’s purchasing tickets to their favorite blockbusters through Fandango, reading trusted reviews on Rotten Tomatoes, or streaming the latest releases at home via Fandango at Home, our platforms help audiences find, watch, and enjoy content with ease. Our team thrives on shaping how people discover and experience entertainment, one screen at a time. Job Description As a Sr. Data Engineer, you will architect, design, and build data solutions that power analytics, insights, and personalization across Fandango’s digital platforms. You’ll lead complex data initiatives, mentor junior engineers, and ensure that our data infrastructure is scalable, efficient, and resilient. Responsibilities Architect, design, and develop scalable data pipelines, data lakes, and data warehouses (AWS Redshift, S3, Glue, EMR) to support analytics and product intelligence. Lead the design of ETL/ELT frameworks and data models (relational and dimensional) to power reporting, dashboards, and data-driven applications. Build and optimize PySpark, Python, and SQL workflows for large-scale batch and streaming data processing. Orchestrate workflows using Airflow or AWS MWAA and implement data ingestion from APIs, third-party sources, and internal microservices. Implement data quality, validation, and observability frameworks across all data pipelines. Partner with data scientists, analysts, and product teams to ensure high-quality, well-modeled data for analytics and ML use cases. Drive best practices in version control, testing, CI/CD, and infrastructure as code (Terraform). Troubleshoot, tune, and optimize database performance; create indexes and partitioning strategies to improve query efficiency. Support production data systems, ensuring reliability and timeliness of data delivery. Mentor other data engineers, contributing to design reviews, code quality, and operational excellence. Report progress and blockers to leadership, and collaborate with cross-functional IT and infrastructure teams. #LI-Remote Versant Media Sizzle Reel (2025) Qualifications 7+ years of experience in data engineering, data warehousing, or OLAP environments. 5+ years of SQL experience, including performance tuning and query optimization. 4+ years of Python or PySpark development for data pipelines and transformations. 3+ years of experience building and maintaining pipelines using AWS Glue, Airflow, EMR, Lambda, or equivalent orchestration tools. Strong experience in AWS Data Services (S3, Redshift, Athena, DynamoDB) and distributed data processing frameworks. Proven experience in data modeling (dimensional and relational) and schema design for analytical workloads. Demonstrated ability to troubleshoot complex data issues and lead root-cause analysis in production systems. Strong understanding of ETL/ELT design patterns, data governance, and metadata management. Excellent collaboration and communication skills with technical and non-technical stakeholders. Desired Qualifications Experience with real-time data streaming (Kafka, Kinesis, or similar). Familiarity with Terraform, CI/CD, and automated testing frameworks. Hands-on experience with BI tools such as Tableau, QuickSight, or Looker. Exposure to NoSQL systems (MongoDB, DynamoDB, or Cassandra). Background in data observability and data quality monitoring tools (Great Expectations, Soda, Datadog). Strong Agile/Scrum experience and mentorship background. 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 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]. Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to Versant in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape. 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.

Responsibilities

As a Senior Data Engineer, you will architect, design, and build data solutions that power analytics and insights across Fandango’s digital platforms. You’ll lead complex data initiatives and ensure that our data infrastructure is scalable and efficient.