The mission of the New Orleans Saints and New Orleans Pelicans is to be #1 in everything we do and to be a global brand to all of our fans. We take pride in the growth and success of the entire Gulf Coast region and are committed to leveraging our resources and goodwill to foster meaningful change for the greater good of society and our community. We celebrate individuality and value all identities and experiences, and value the perspectives of our team members. Our team members are integral to our success, and we stand beside them through success and hardship. We make it a priority to make all team members feel included and their opinions be heard. Together, we win!

Who you are:

You want to be part of a team that values community, integrity, excellence, and an organization where people come first and are celebrated. You love the industry of sports, and are excited by the potential of working for two major leagues, the NFL and the NBA. You understand and appreciate that New Orleans is a unique city with so much to offer, and you want to be a part of the vibrant community that wants to see it’s teams be the best. You are passionate, driven, and ready to work hard and have fun.

Position Summary:

It’s exciting to work in sports. And it’s even more exciting to be a decision influencer in sports using Data Engineering techniques, tools and methods. Imagine what you could do, learn and accomplish here at the Saints and Pelicans organization, where we never stop thinking, learning, creating, testing, and innovating. The Saints and Pelicans’ Business Intelligence and Consumer Insights department is looking for a talented Data Engineerwho is passionate about designing, crafting, and operating automated analytical solutions that will drive scientific data-driven decision making and have direct and measurable positive impact to both the New Orleans Saints, the New Orleans Pelicans, and ultimately their customers - the fans. As a Data Engineer, you will use Python, SQL, Snowflake, dbt and other tools to build automated processes, models and solutions for data operations across the company. This role will own the data engineering process for all of our business-related data in support of the entire company (Marketing, Sales & Retention, Game Presentation, Facility Operations, Ticketing and Corporate Partnership etc.).

What you will be doing:

• Engage and collaborate with business analysts to find opportunities, understand requirements, and translate requirements into technical data science solutions
• Design, engineer and maintain analytical tools and models using statistical or data science approach, apply tried-and-true techniques, and develop custom algorithms as needed by the business problem
• Collaborate with data scientists and business analysts to design, test and implement robust automated and/or batch machine learning solutions
• Build and maintain data sources and ETL/ELT processes across business operations, such as social media data, digital and text message data, live traffic data, weather data,
• Help ensure database integrity by building and maintaining resilient data processes, and assist with architecting data storage solutions to efficiently store and retrieve information.
• Collaborate with business analysts to ensure operational and business metric health by monitoring key decision points, and provide actionable insights instantaneously to business analysts and key business decision makers
• Execute data mining and investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
• Communicate results of analyses to business analysts, managers and executives
• Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
• Other projects and duties as assigned

What you’ll bring:

• Bachelor’s degree in in Computer Science, Data Engineering, Machine Learning, Statistics, Applied Mathematics, Economics, or a related field with focus on computer science, data science, or programming
• Strong Microsoft SQL programming and administration skills along with an understanding of database design and data collection methodology, including the underlying relational and dimensional data models
• Experience in building modern ETL/ELT processes (preferably in Python) to centralize and organize data, and strong understanding of XML and JSON file structures
• Understanding of how to utilize cloud based solutions such as those offered by Snowflake and MicrosoftAzure
• 3-5 years’ experience applying data science to real business problems
• Minimum 3 years practical experience and ability to implement data science pipelines and applications in a general programming language such as Python
• Minimum 3 years practical experience and knowledge of relational databases, such as SQL
• Minimum 3 years practical experience and knowledge of data visualization tools, such as Tableau
• Knowledge of modern data engineering frameworks, such as dbt
• A knowledge of, and passion for finding, the newest and most innovative engineering techniques—the type of programmer who loves refactoring and reading about new frameworks
• Understanding of algorithms for classification, regression, clustering, and anomaly detection
• Ability to handle high pressure situations while still being attentive to the detail and excellent work product required
• Must have high level of interpersonal skills to handle sensitive/confidential situations and information
• Ability to comprehend and debug complex systems integrations
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Excellent communication and organization skills, distilling complex analysis and concepts into concise business-focused takeaways
• Creativity to engineer novel features and signals, and to push beyond current tools and approaches
• Highly analytical person with strong problem-solving and self-directed learning skills, and exceptional attention to detail
• Highly self-motivated individual with excellent teamwork spirit
• Experience within the sports industry is not required, but is a plus
• Submitting a business case study from your past working experience is highly recommended

Working Conditions:

• Typical office environment
• Must be able to sit and work at a computer 80% of the day
• Working schedule/hours will ebb and flow with NFL/NBA schedule, and will include working some late hours, holidays, nights, and weekends

What we offer:

• Medical, Dental and Vision Insurance options
• 401K with employer contributions
• Paid parental leave
• PTO and paid holidays
• Wellness Program

**SkillBridge candidates are welcomed and encouraged to apply. When selecting the source of learning about the role, please select "SkillBridge".**