Data Engineer

About LEARFIELD:

As an industry leader for more than four decades, LEARFIELD has a deep presence in the college athletics landscape nationwide. It manages the multimedia and sponsorship rights for nearly 250 collegiate institutions, including conferences and arenas, and supports athletic departments at all competitive levels as the title sponsor of the prestigious LEARFIELD Directors’ Cup. LEARFIELD also provides its collegiate partners access to professional concessions and ticket sales; branding, licensing, and trademark consulting; digital and social platform expertise; campus-wide business and sponsorship development; and venue and technology systems through its affiliated companies. LEARFIELD is also the largest data aggregator in college sports, providing key fan insights and analysis back to our school partners.

Our people-friendly culture is a hallmark of our style and approach to business and is rooted in values demonstrating intentional and active care for other people. The company and its employees strive each day to live by the company's value statement: “build the team, grow the company, have fun, love, and serve others."  

Job Description:

The data strategy and analytics group (DSA) at LEARFIELD has partnered with the business in creating data solutions that will help drive the business forward into a digital transformation age.

As a Data Engineer, you will help drive the development and adaptation of new technologies to help the business reach its goals. The data engineering team is looking for a candidate with in-depth hands-on experience in designing, architecting, and developing data solutions in an SQL environment. This will include data ingestion, cleansing, modeling, and automation.

The ideal candidate will have hands-on experience in Azure data technologies including Azure SQL database, Data Factory, Data Lake/Storage Accounts, Azure DevOps, along with Big Data technologies such as Spark and Streaming Analytics.

As a Data Engineer, you will report to the Director of Data Engineering. Additionally, you will work closely with all other members of the development team including data analysts, visualization developers, project management, QA analysts, stakeholders, and product owners.

Responsibilities 

• Architect new features/solutions into the current data warehouse solution
• Troubleshoot and evaluate bottlenecks in current ingestion techniques
• Design, develop, and test data services in current Azure environment
• Develop and automate processes using Power Platform tools
• Creation and maintenance of clear and impactful technical documentation
• Mentoring and upskilling other team members
• Support and maintenance of the production environment and data pipelines
• Data architecture, design, development, and implementation, using Azure technologies for large-scale data solutions
• Technical authoring & solution design for data warehousing
• Ability to adapt to rapidly evolving environments

Qualifications

• Proven and comprehensive track record building and deploying scalable solutions in an Azure cloud environment
• Familiar with Azure DevOps CI/CD concepts
• Familiar with Spark and subsequent languages (PySpark, SparkSQL, etc)
• Extensive working knowledge in T-SQL
• Working knowledge of data warehousing/data modeling concepts
• Experience working with structured, semi-structured, and unstructured data
• Experience in Azure cloud technologies including:
  • Azure Data Lake Gen2/Storage Accounts (ADL)
  • Azure Data Factory (ADF)
  • Azure SQL Database
  • Azure DevOps
  • Power Platform
• Experience in database administration/performance optimization technologies and techniques, but not required
• 4+ years working in a data engineering environment
• 3+ years of working experience on Azure technologies
• Knowledge of Agile/Scrum project management lifecycle
• Knowledge of security best practices and industry standards and how to apply them within an Azure environment. (SOC2 working knowledge a plus)
• Tableau Server and Desktop knowledge is a plus
• Experience with front-end / middle technologies including: (but not required)
  • C#
  • Entity Framework
  • Angular
  • API’s (REST)

Learfield is the leading media and technology services company in intercollegiate athletics. The company unlocks the value of college sports for brands and fans through an omnichannel platform with innovative content and commerce solutions for fan engagement. Headquartered in Plano, Texas, the company has long had the privilege of being an advocate for intercollegiate athleti