Job Title: Football Solutions Data Engineer
Location: Ashburn, VA
Job Type: Full-Time
Experience: Mid-Level (3-4 years)
Reports to: Director of Football Solutions

Job Description:


The Washington Commanders are seeking a skilled Football Solutions Data Engineer to manage the evolution of our data practices. This role is critical in ensuring the secure handling, processing, and analysis of all football-related data and is essential to the development and maintenance of the club's proprietary web applications that support coaching, scouting, and other football departments.

This job offers a unique opportunity to be at the forefront of football data engineering, directly contributing to the success of our team by providing cutting-edge data solutions that enhance player evaluation and performance, game strategies, and overall football operations. If you are passionate about football and data engineering, and you thrive in a fast-paced, collaborative environment, we encourage you to apply.

Key Responsibilities:


Data Pipeline Development:
• Design, build, document, and maintain robust data pipelines that process and manage football-related data.
• Implement ETL processes that efficiently extract, transform, and load data from various sources, ensuring accuracy and reliability.
• Develop algorithms for quality assurance and data imputation, preparing data for exploratory analysis and quantitative modeling.

Cloud Management:
• Lead the migration of our SQL environment to Azure, ensuring seamless data integration and replication.
• Manage and optimize cloud-based database solutions using Azure, providing secure, scalable, and reliable performance.

Data Security & Compliance:
• Apply encryption methods to protect sensitive football data at rest and in transit.
• Define and enforce access controls to limit data exposure to authorized personnel only.
• Ensure compliance with data privacy regulations.

Cross-Functional Collaboration & Communication:
• Work closely with football operations, coaching, scouting, and analytics teams to align data engineering efforts with organizational goals.
• Provide technical support and guidance to colleagues on data-related matters, helping them leverage data for strategic decisions.
• Coordinate with data providers around planned changes to data feeds.
• Research and evaluate potential data vendors.

System Optimization & Documentation:
• Continuously evaluate and enhance data infrastructure for scalability, performance, and cost-effectiveness.
• Monitor system performance, identify bottlenecks, and optimize data storage and retrieval mechanisms.
• Promote best practices in data engineering, including code quality, documentation, and version control.
• Document data pipelines, processes, and security protocols for knowledge sharing and future reference.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-4 years of professional experience in data engineering, preferably with exposure to sports or football-related data.
• Experience developing complex databases and data warehouses for large-scale analytics systems.
• Proficiency in SQL, Python, ETL tools, and cloud platforms (e.g., Azure, AWS).
• Strong experience with Azure databases, including design, management, and optimization.
• Experience with SQL environment migration to Azure and replication of ETL processes.
• Proven expertise in data modeling, database design, and performance optimization.
• Strong understanding of data encryption and access control methods.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work effectively in a team environment.
• Passion for football and understanding of football operations is a plus.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Job Questions:

1. How many years of relevant experience do you have?
2. What are your compensation expectations?

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