Full Stack Engineer

Job Description

Who are we hiring?
The New York Knicks are looking to expand the capability and impact of their performance science team and are looking for a Data/Full Stack Engineer with expertise in biomechanics-focused data. This individual will design, develop, and maintain data infrastructure and pipelines that support our biomechanics research, general performance science research, and product development. The ideal candidate will have a strong background in data engineering, experience working with biomechanical data, experience with front-end development and a passion for engineering data-driven solutions to support player performance.
What will you do?
• Develop the integration of new performance science data sources into our database infrastructure.
• Design and implement pipelines with a focus on collecting, processing, relating, and optimizing large volumes of raw kinematic data for analysis.
• Develop algorithms and data processing techniques to derive useful metrics for insight from marker-less motion capture data, enhancing our understanding of player biomechanics, injury prevention, and performance optimization.
• Monitor and troubleshoot data pipeline performance, ensuring optimal data flow and processing.
• Design principles and workflows for data quality management including systems for outlier and anomaly detection
• Conduct database audits to ensure long-term viability of infrastructure and identify dataset strengths and weaknesses
• Engineer front-end systems for practitioners to interface with performance science reporting and insight
• Collaborate with data scientists on feature engineering to support long-term quantitative research
What do you need to s/ucceed?
• Bachelor's degree or higher in Computer Science, Software Engineering, Mathematics or a related field (or relevant work experience)
• 3+ year's experience as a Data or Full Stack Engineer (or similar field) with specific expertise in processing biomechanical data
• Proficiency in Python, R, SQL and relevant data engineering tools.
• Familiarity with Python based application building (using Python Dash).
• Familiarity and experience in one or more of JavaScript (React, Angular, or Vue.js framework), CSS, and HTML
• Familiarity with AWS Redshift and Cloud based architecture
• Expertise developing SQL based ETL/ELT applications
• Experience building API integrations using FastAPI, Flask or other similar framework
• Proficiency using version control systems such as Git or Bitbucket for collaborative software development or code management
• Understanding of human kinematics applied to a high-performance setting
• Passion for basketball and desire to leverage data in optimizing player performance
Pay Range
$83,000 - $130,000 USD

Jobcode: Reference SBJ-6kzp68-216-73-216-3-42 in your application.