SkillCorner is hiring a data engineer to support its rapidly expanding US sports business. In this role, you will work with the analysis and research team, while collaborating heavily with the engineering and business teams to elevate the value of SkillCorner’s cutting-edge tracking and event data. You’ll own and develop the internal data infrastructure for internal and external teams to work with US Sports data

Core Responsibilities

• Develop and maintain internal tools (GCP Pipelines, Streamlit) to store, organize, distribute, and maximize the accessibility of SkillCorner data.

• Develop an external Streamlit-based WebApp, building on existing resources

• Work closely with teammates to distribute those tools through open platforms like GitHub, Colab etc.

• Work with US Sports analyst to implement and scale the usage of new metrics , insights and frameworks

• Support SkillCorner US Sports clients with data engineering matters when appropriate

HOW TO APPLY: If you’re interested in this position, please fill in this form. Only applicants that have responded to the form will be considered. Due to the high volume of interest, we can only provide personalized responses to candidates selected for an interview. Thank you for your understanding.

Qualifications

• Undergraduate or graduate degree in data science, computer science, engineering, or a related field.

• Strong knowledge of Basketball analytics, including key metrics, trends, and performance evaluation techniques.

• Basic knowledge of American football analytics, including key metrics, trends, and performance evaluation techniques.

• Proficiency in Python, SQL, and Cloud Tools. In particular, GCP, BigQuery and Streamlit are a big plus

• 2+ years of experience in a data engineering / webapp development role

• Experience working in ambiguous environments with minimal supervision

• Excellent analytical mindset, problem-solving skills, and ability to work collaboratively in teams.

What Will Make You Stand Out

• A unique combination of basketball expertise and data engineering skills, with a demonstrated passion for data and sports.

• A proactive approach to developing new metrics, visualizations, and tools to evaluate players, teams, and tactical trends.

• Comfort working remotely while maintaining high productivity and effective communication.

• Initial FORM and CV Screening

• Introduction Chat and Fit assessment

• Home Case Study and Presentation