Data Engineering Manager

Key Skills

Java Programming, Python Programming, SQL, AWS, Tableau, Apache Airflow, Postgres, MySQL, Amazon RedShift, Data Engineering, ETL frameworks

Job 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 30M 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.

Job Description

SportsEngine has an exciting opportunity for a Manager. In this role as part of the Data Team, you work to manage the full lifecycle of our data warehousing needs. Our data warehouse and data operations are built on top of Amazon Web Services using a modern data warehousing stack which includes the use of Amazon Redshift, Apache Airflow and Sisense for reporting. In carrying out the key priorities of the role they will ;

• Lead a team of passionate data scientists and data engineers.
• Looking for a hands-on manager, who can build ETL, BI Reports, etc.
• Manage the day to day operations of running our Data Warehouse.
• 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.
• Build, analyze and manage reports and dashboards for business stakeholders.
• Help identify better practices, tools, and relevant trends that can positively influence the data operations across the business.

Qualifications

• A minimum of 10 years of Data engineering experience.
• Experience of mentoring and managing a data team.
• Experience with AWS, Python is required.
• Working experience in building Data Marts and Data Modeling.
• Extensive Experience and understanding of SQL (MySQL, Postgres, Redshift).
• Experience with any ETL tools is required. Preferable Astronomer/Airflow, Boomi.
• Experience with frontend BI Tools is a must (such as Periscope, Sisense, Tableau).