Orlando City SC
Team Operations - Data Engineer
Orlando City SC - Orlando, Florida, us, 32885
Work at Orlando City SC
Overview
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Overview
Posted Tuesday, December 17, 2024 at 5:00 AM
DEPARTMENT:
Head of Analytics & Insights REPORTS TO:
Soccer Operations WHAT SETS YOU APART:
As the Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and systems. This role requires a deep understanding of data architecture, data modeling, and ETL processes. The Data Engineer will work closely with the Head of Analytics & Insights and other stakeholders to ensure data availability and quality for soccer decision-making. You will play a vital role in shaping the future of our organization by leveraging your technical skills to analyze and manipulate large sets of data to provide insights that will drive high-level decisions. This individual will have the opportunity to work with a diverse team of professionals and contribute to the success of our sports organization. If you are passionate about data, have a strong analytical mindset, and thrive in a challenging environment, we would love to have you on our team. ESSENTIAL DUTIES & RESPONSIBILITIES: Develop and automate scalable ETL pipelines within a cloud-based data warehouse system. Prepare data sets, perform feature engineering, and support departmental efforts to drive insights and analysis. Develop and maintain efficient database schemas. Oversee development and deployment of containerized software applications. Consult with the Head of Analytics in data architecture and solution design, code, and other best practices to build a stable and future-proof data infrastructure. Collaborate with Data Scientists and Analysts on ad-hoc analysis and projects for the Scouting Department and Coaching Staff. Research trends in sports analytics, in terms of methodologies, models, technologies, and services. Develop processes for monitoring and testing data quality across multiple sources. Other duties as assigned. QUALIFICATIONS: Fluency in Python or R. Experience working with PostgreSQL or similar relational database management systems. Experience designing data warehouse systems on cloud service providers like AWS. Experience with developing web applications using R Shiny / Python Streamlit. Experience with version control tools like Git. Strong understanding of Linux/UNIX administration. Familiarity with data pipeline orchestration tools like Airflow, Dagster, Kestra. Familiarity with Docker. Familiarity in deploying machine learning models to production environments. Familiarity with football data APIs. Understanding soccer & the ability to recognize basic tactical concepts. Knowledge or familiarity of data visualization tools such as Power BI or Tableau. 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. #J-18808-Ljbffr
Head of Analytics & Insights REPORTS TO:
Soccer Operations WHAT SETS YOU APART:
As the Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and systems. This role requires a deep understanding of data architecture, data modeling, and ETL processes. The Data Engineer will work closely with the Head of Analytics & Insights and other stakeholders to ensure data availability and quality for soccer decision-making. You will play a vital role in shaping the future of our organization by leveraging your technical skills to analyze and manipulate large sets of data to provide insights that will drive high-level decisions. This individual will have the opportunity to work with a diverse team of professionals and contribute to the success of our sports organization. If you are passionate about data, have a strong analytical mindset, and thrive in a challenging environment, we would love to have you on our team. ESSENTIAL DUTIES & RESPONSIBILITIES: Develop and automate scalable ETL pipelines within a cloud-based data warehouse system. Prepare data sets, perform feature engineering, and support departmental efforts to drive insights and analysis. Develop and maintain efficient database schemas. Oversee development and deployment of containerized software applications. Consult with the Head of Analytics in data architecture and solution design, code, and other best practices to build a stable and future-proof data infrastructure. Collaborate with Data Scientists and Analysts on ad-hoc analysis and projects for the Scouting Department and Coaching Staff. Research trends in sports analytics, in terms of methodologies, models, technologies, and services. Develop processes for monitoring and testing data quality across multiple sources. Other duties as assigned. QUALIFICATIONS: Fluency in Python or R. Experience working with PostgreSQL or similar relational database management systems. Experience designing data warehouse systems on cloud service providers like AWS. Experience with developing web applications using R Shiny / Python Streamlit. Experience with version control tools like Git. Strong understanding of Linux/UNIX administration. Familiarity with data pipeline orchestration tools like Airflow, Dagster, Kestra. Familiarity with Docker. Familiarity in deploying machine learning models to production environments. Familiarity with football data APIs. Understanding soccer & the ability to recognize basic tactical concepts. Knowledge or familiarity of data visualization tools such as Power BI or Tableau. 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. #J-18808-Ljbffr