LA Galaxy, Senior Data Engineer

Job Description

LA Galaxy, Senior Data Engineer (On-Site)

Position Summary:

Join the LA Galaxy's Technology and Data team as a Senior Data Engineer and fulfill a critical position in sports business innovation. In this role, you will work across all LA Galaxy and DHSP departments with support and infrastructure provided by the LA Kings and AEG Sports operations. This role will implement, maintain, and enhance data solutions (data warehouse, ETL processes, custom-built software, web applications) that help create business strategies and new revenue streams, improve business operations, and elevate fan experience.

Work closely with Senior Data Analyst and Senior Director of Analytics and Research to get all data usable and current. Liaise with third parties to manage and link data between CDP, app function and performance, marketing performance, and more.

Essential Functions:
• Engineer, develop, manage, and monitor ETL (Extract, Transform, and Load) and data pipeline tasks using available tools as required to consume new sources of data into the respective data environments.
• Lead the development of data models and provide guidance for optimizations and improvements to improve performance of data infrastructure and related products.
• Perform code reviews for other data engineers within AEG Global Technology. Reviews involve reading and testing code, reporting back areas for improvement or glaring bugs.
• Monitor and remediate data quality issues within AEG sports data warehouses.
• Design and implement automated custom data visualizations that allow non-technical users to grasp very technical concepts.
• Implement new statistical, or machine learning, models and maintain existing models, used in all facets of player acquisition and game play.
• Attend team huddles within AEG Sports where team members collaborate on status, techniques, and upcoming projects.
• Continuously improve knowledge and abilities in the areas of software and data engineering, statistical learning, and machine learning.

Required Qualifications:
• BA/BS Degree (4-year) Mathematics, Computer Science, Statistics or Analytics
• 4-6 years Related work experience
• Demonstrable experience designing, developing, and deploying database structures and extracting data through SQL
• Demonstrable experience on cloud platforms such as AWS, Azure, or GCP.
• Preferred Qualifications: Experience in project management techniques, e.g. ''Agile'', and related software customarily used to manage development cycles
• Demonstrable experience with RESTful API development is a plus.
• Demonstrable experience building statistical models and machine learning models in Python or R is a plus.
• Demonstrable experience building end-user applications, either web-based or mobile, using React, Angular, or Vue is a plus.
• 2-4 year of relatable work experience
• Demonstrable experience with code collaboration software, e.g. git
• Prior experience in LLM, NLP, or AI products is a plus.
• Strong communication skills, written and verbal
• Strong work ethic and passion for technology
• Capacity to understand asynchronous programming, and design code for speed and scale.
• Collaborative skills, with an eye towards being a technical mentor to junior members of the team.
• Familiarity with hockey and soccer is a plus

Pay Scale: $120,000 - $130,000

Jobcode: Reference SBJ-d8we1q-18-119-110-17-42 in your application.