Data Engineer - NBC Sports Next

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

GolfNow has an exciting opportunity for a Data Engineer. In this role as part of the Data Services Team, you work to manage the full lifecycle of our data warehousing needs. You will read and write complex queries, demonstrate the ability to create database objects (tables, views, stored procedures, user-defined functions) and create and maintain ETL pipelines. Our data warehouse and data operations are built on top of Microsoft technologies including MS SQL Server, SSIS, PowerShell, and SSRS. To perform this job successfully, an individual would need to be able to understand complex business processes, gather requirements, work efficiently, and verify their results.

Responsibilities include but are not limited to:

• Work within a small team of passionate data engineers and data scientists.
• Compile user requirements and specifications for reports.
• Contribute to the management of the day-to-day operations of running our Data Warehouse.
•  Build, analyze and manage reports and dashboards for business stakeholders.
• Respond to users to troubleshoot and/or improve existing reports.
• Collaborate with internal QA on customer acceptance testing.
• Develop SQL scripts and objects to support reporting functionality and performance.
•  Build data pipelines and ETLs for loading source system data into the data warehouse for further reporting and analysis.
• Assist in building scalable data models to support reporting and tracking of key business and product metrics.
• Help identify better practices, tools, and relevant trends that can positively influence the data operations across the business.
• Other duties may be assigned as needed by management.

Qualifications

All candidates must meet the qualifications below: 

• A minimum of 2 years of data engineering experience is required.
• Working experience developing and refactoring SQL Stored Procedures.
• Working experience creating and modifying SSRS reports.
• Advanced experience and knowledge of T-SQL, SSIS, SSRS, and Microsoft SQL Server Database Platforms.
• Experience with Azure Services.
• Experience using source control with Git or Team Foundation Server.
• Experience with modeling data structures in both transactional and analytical platforms.
• Experience with one of the ETL Tools. (SSIS, Stitch, Scripting).
• Experience with PowerShell scripting.
• Experience with one of the BI Tools. (SSRS, Tableau, Sisense)

Desired qualifications are as follows:

• Experience with Apache AirFlow.
• Experience with Python scripting.
• Experience managing SDLC process with Atlassian tools. (Jira, Confluence)
• Able and eager to learn new technologies.
• Able to easily transition between high-level strategy and day-to-day implementation.
• Excellent teamwork and collaboration skills.
• Results-oriented and self-motivated.

Interested candidates must:

• Submit a resume/CV through www.nbcunicareers.com to be considered.

Successful candidates will be required to:

• Submit an attestation disclosing COVID-19 vaccination status and, if partially or fully vaccinated, submitting their vaccination record no later than 7 days following commencement of employment.
• Be fully vaccinated against COVID-19 at the commencement of employment or adhere to enhanced protocols if Company determines your job position requires accessing an NBCUniversal worksite.
• Be willing to adhere to all Company COVID-19 workplace safety policies and 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 nbcunicareers.com 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.