Manager, Data Engineering - NBC Sports Next

Orlando, FL, United States

Applications have closed

Company Description

NBC Sports Next is where sports and technology intersect. We’re a subdivision of NBC Sports and home to all NBCUniversal digital applications in sports and technology within our three groups: Youth & Recreational Sports; Golf; and Betting, Gaming & Emerging Media.

At NBC Sports Next, we make playing sports better through innovative technology and immersive experiences for athletes, coaches, players and fans. We equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform; GolfNow, the leading online tee time marketplace and provider of golf course operations technology; GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, and coaching, tips; TeamUnify, swim team management services; GoMotion, sports and fitness business software solutions; and NBC Sports Edge, a leading platform for fantasy sports information and betting-focused tools.

At NBC Sports Next we’re fueled by our mission to innovate, create larger-than-life events and connect with sports fans through technology that provides the ultimate in immersive experiences.

Golf fuses the team behind products and services like GolfNow, TeeOff and GolfPass, which better connects golfers and golf facilities around the world through innovative solutions like cloud-based golf course management and SmartPlay contactless technology and services that create optimum golfing experiences.

Come join us as we work together as one team to innovate and deliver what’s Next.

Job Description

JOB SUMMARY: Manager of Data Engineering role is responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. The role will be hands-on and will be responsible for managing direct reports, help the business drive data-driven decisions, and solving business opportunities through data. This role will be leading improvements of existing data solutions and development of new solutions by scoping, implementing, and testing in order to address business requirements.


  • Act as a company-wide consultant leveraging knowledge of existing data structures and business knowledge to solve problems
  • Own the vision for analytical systems (or subsystems), be accountable for integrating these systems into existing business process and software, and design and maintain the consolidated product roadmap for future ongoing evolution of these systems
  • Be an expert in the data, including source systems, design data integration solutions, data validation, and data testing processes
  • Be an expert in our applications, understand how our systems and applications receive data, how it is stored and used, and the underlying processes that leverage it
  • Be a problem solver, when presented with new challenges, you are expected to research and network to find solutions
  • Be a hands-on data expert who writes new/custom SQL and Python to extract, translate, and load data (ETL/ELT)
  • Seek out answers to business problems, and look for opportunities to automate processes
  • Collaborate with partners, App Engineering, Decision Science, Finance, Revenue Management, Marketing, and Sales throughout the development process to ensure solutions are built cohesively and meet requirements
  • Proactivity communicates with technical and non-technical stakeholders, seek to learn, and understand, and potentially challenge existing processes in order to continuously seek improvement efficiencies
  • Hands-on managing data engineers, and analytical teams
  • Hands-on with database design, and architecture methodologies and development life cycle


All candidates must meet the following minimum qualifications:

  • 3+ years of complex experience in software or data engineering
  • 3+ years of experience with Python/Powershell
  • 3+ years of experience with MSSQL
  • 3+ years of experience with cloud-based technologies preferable AWS EC2, S3, Redshift, RDS, Snowflake
  • 3+ years of experience with designing, building relational databases (preferably MSSQL, Redshift
  • 3 + years of experience with GitHub and Git flow
  • 3+ years of experience with data pipeline platforms like Apache Airflow, SSIS, TalendD, Informatica
  • Strong understanding of analytical data tiers like MSSQL, Redshift, Snowflake
  • Strong understanding of transactional data tiers like MSSQL, MYSQL, PostgresSql, MongoDB
  • Proficient in a variety of data science methods, scalable infrastructure setup, software development, and system architecture
  • Proven ability to leverage best practices around data engineering development process
  • Self-motivated with a move-fast mindset able to work independently in high-paced environment while adhering to strict deadlines with constant supervision
  • Data visualization experience with platforms like (Tableau, SiSense, SSRS, Looker)
  • Proactive communication skills with experience guiding results across cross-matrixed teams
  • Experience in establishing, implementing, and socializing analytics best practices with both technical and non-technical stakeholders
  • Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources
  • Excellent written, verbal and listing communication skills
  • Experience working in an agile environment
  • Must have the ability to travel for training, conferences or supported business locations
  • Must have strong organizational and time management skills
  • Extensive knowledge and experience of modern data architecture and modern technologies such as data appliances, distributed computing and Hadoop, data streaming, analytics, machine learning, and artificial intelligence

Desired qualifications are as follows:

  • Knowledge of the fields of revenue management, finance, and ecommerce business
  • Strong understanding of advanced analytical methods
  • Experience developing short and long-term product roadmaps for implementation and sustainment
  • Technical expertise applied to rapidly changing, highly agile requirements
  • Proficiency in automation and improving existing processes
  • Knowledge of high transactional ecommerce B2C and B2B businesses
  • Experience with Data Management Platforms
  • Experience with Apache Airflow/Dag Factory

Interested candidates must:

  • Submit a resume/CV through to be considered.

Additional Requirements:

  • Must be willing to adhere to all Company COVID-19 workplace safety policies and protocols.

  • In select work settings or where jurisdictionally mandated, must submit an attestation disclosing your COVID-19 vaccination status and be fully vaccinated against COVID-19 or adhere to enhanced protocols.

Additional Information

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. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

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 as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Airflow Architecture AWS Data Analytics Data management Data visualization EC2 E-commerce ELT Engineering ETL Finance Git GitHub Hadoop Informatica Looker Machine Learning MongoDB MS SQL MySQL Python RDBMS Redshift Research Snowflake SQL SSIS Streaming Tableau Testing Travel Unstructured data

Perks/benefits: Career development Conferences Fitness / gym Team events

Region: North America
Country: United States
Job stats:  8  0  0

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