Data Engineer

Summary of ResponsibilitiesThe role of the Data Engineer will be to maintain and further develop the modern, scalable, baseball data pipeline for the St. Louis Cardinals. This person will collaborate with the Baseball Systems group to ensure high quality data is available to scouts, coaches, players, and other baseball decision-makers. This person should be detail-oriented, enjoy collaborating with others, communicate effectively, both verbally and written, have a growth mindset, and love the game of baseball.Essential Functions of the Job Build and support components of our data pipeline that ingests raw baseball data and outputs baseball data ready for review and analytics modeling by Baseball OperationsContinuously extend our data pipeline to ingest additional data sources and handle increasingly dense datasetsContinuously improve our data pipeline by reducing latency, reducing cost, and reducing errorsCommunicate effectively with Baseball Operations staff to ensure we are anticipating and supporting their data needsRigorously test our data pipeline to improve its quality and maintainability over time Minimum Education and Experience Bachelor's degree in a technical field, or a combination of relevant education and work experienceExperience identifying, triaging, and resolving data issuesInterest in modern data system architectures, design patterns, and best practicesAbility to apply creative solutions to challenging technical tasksAbility to work independently in a fast-paced environmentProficiency with more than one modern programming languagesFamiliarity with data-related concepts such as data pipelines, databases, SQL, JSON, and REST APIs Education and Experience Preferred Professional experience in a software engineering, data reliability, and/or a quality assurance environmentProficiency with Python or Go (or proficiency with multiple languages and a desire to learn Python or Go)Proficiency with DevOps tools including Git, CI/CD pipelines, and configuration-as-codeProficiency with Cloud computing, Kubernetes, and/or container-based or serverless application deployment

Created: 2026-03-07