We are seeking a talented data engineer to design, build, and maintain robust data pipelines and infrastructure for hockey-related datasets. The ideal candidate will have expertise in data engineering, cloud technologies, and a keen interest in hockey. This role will focus on creating scalable systems to collect, process, and deliver high-quality data to support analytics, visualizations, and strategic initiatives.

Key Responsibilities:* Design and implement scalable, automated data pipelines to ingest, clean, and transform data from diverse sources (e.g., APIs, real-time game feeds, historical datasets).

• Ensure data quality and consistency through validation, error handling, and monitoring processes.
• Build and maintain cloud-based data storage solutions (e.g., data lakes, databases) using platforms like AWS, Google Cloud, or Azure.
• Manage and optimize databases (e.g., PostgreSQL, MongoDB) to support real-time and batch processing of data.
• Collaborate with team members in the analytics department to integrate data pipelines with analytical tools, machine learning models, and front-end applications.
• Develop APIs and data services to enable seamless access to data for internal usage.
• Propose and implement innovative solutions to enhance data processing speed, scalability, and accessibility.
• Monitor and troubleshoot data systems to ensure high availability and performance.

Qualifications:* Bachelor’s or Master’s degree in computer science, Data Engineering, Software Engineering, or a related field.

• Experience in data engineering, including building and maintaining data pipelines.
• Proficiency in programming languages such as Python, Java, or Scala for data processing.
• Strong experience with SQL and relational/non-relational databases (e.g., PostgreSQL, DynamoDB).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and tools like Airflow, Kafka, or Spark.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Passion for sports and understanding of sports metrics across multiple disciplines (e.g., hockey, soccer, basketball, baseball).
• Experience with data visualization or BI tools (e.g., Tableau, Looker) for prototyping or validation.

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.