The Mets operate a full technology stack spanning JavaScript, React, Node.js, AWS, GCP, and Python—typical of a mid-size sports organization balancing fan-facing web/mobile applications with internal business systems. Active projects show a split focus: greenfield mobile apps and baseball-stakeholder tools alongside data infrastructure work (modeling, quality, ML model support), though data ingestion and quality remain documented pain points. The hiring mix reflects this: engineering and data roles are sparse relative to operations and HR, suggesting the organization is still maturing its technical depth.
The New York Mets is a sports and media-entertainment organization headquartered in Flushing, New York. The company operates with 250 full-time employees, 110 seasonal interns, and approximately 1,200 game-day staff. The organization manages player development operations—including culinary training and facilities across multiple locations—alongside front-office systems for ticket holders, fans, and internal baseball operations. The technology footprint includes web and mobile applications, data pipelines, and integrations connecting internal and external systems.
The Mets tech stack includes JavaScript/TypeScript, React, React Native, Node.js, AWS, GCP, Python, SQL, Swift, Azure, dbt, Terraform, and Bitbucket. This mix supports web/mobile applications, cloud infrastructure, and data transformation work.
Yes, the Mets have engineering and data roles in their active pipeline, though hiring velocity is minimal. Current open roles span engineering (1), data (1), operations (2), and HR (1), distributed between junior and senior levels.
Projects include greenfield mobile applications, tools for baseball stakeholders, data modeling and catalog management, data quality solutions, machine learning model support, and integrations across internal and external systems. Culinary operations across player development facilities are also a major focus.
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