Position Summary:

The Excel Analytics team is expanding its capabilities and organizational reach. To achieve this, we are seeking a Full Stack Engineer who can bridge the gap between data engineering, software development, and analytics.

This role requires familiarity of both front-end and back-end development while also having experience working with data pipelines, APIs, and analytics tools. You will play a key role in developing applications, automating data workflows, and delivering insights that drive business decisions.

• Design, develop, and maintain scalable full-stack applications, integrating front-end interfaces with robust back-end data systems.
• Build and optimize data pipelines to reliably ingest, transform, and export data.
• Develop APIs and services that enable seamless data access across platforms.
• Define and maintain departmental data architecture, while standardizing consistency, quality, and security across multiple verticals.
• Collaborate with cross-functional teams to help translate data into insights via innovative solutions.
• Ensure best practices in software engineering, data engineering, and analytics.

Education and Experience:

• A four-year degree in Computer Science, Data Science, Mathematics, Economics, or a related field OR equivalent experience.
• 4+ years of experience in Data Engineering, Software Engineering, or Full Stack Development.

Knowledge, Skills and Ability:

• Strong foundation in data engineering, computer science, math, & statistics
• Knowledge of statistical programming languages such as R, Python, etc.
• Experience with databases (PostgreSQL, MySQL, or equivalent).
• Experience in cloud environments (AWS preferred, or GCP/Azure).
• Experience with building APIs & microservices (FastAPI, Flask, Node.js).
• Experience with Git and CI/CD pipelines.
• Understanding of data and software engineering best practices.
• Familiarity with Agile methodologies

Bonus Skills:

• Experience with Airflow or other workflow orchestration tools.
• Familiarity with modern front-end frameworks (React, Vue, or Angular).
• Familiarity with Docker, Kubernetes, and Infrastructure-as-Code.
• Experience with Power BI, Tableau, or similar BI tools.
• Interest in Generative AI/LLMs.
• Strong interest in Sports & Sports Analytics.

The pay range for this position is: $120,000 per year - $140,000 per year. This position is also eligible for benefits and discretionary bonus.  

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.