Associate Data Platform Engineer

MSG Entertainment Holdings, LLC • New York, NY

1d • $83,000 - $130,000 • Onsite

About The Position

The Associate Data Platform Engineer supports, enhances, and maintains MSG Entertainment’s data platforms for analytics and integration with business and customer-facing applications. The role works with data across MSG business units, including the Knicks, Rangers, Rockettes, and events at the company’s venues, and collaborates with Data Platform Engineers and Senior Data Platform Engineers to make actionable insights available across the organization.

The engineer works hands-on with Python, SQL, Amazon Redshift, and Amazon Athena to support the enterprise data architecture, data warehouse, ETL transformations, dimensional models, and orchestrated workflows. The position also partners with business stakeholders and Business Intelligence developers, maintains data quality and documentation, and troubleshoots data solutions. On-site, the employee is expected to follow appearance and presentation guidelines and provide exceptional experiences for guests, partners, and team members.

Requirements

• At least 2 years of related experience in data engineering, analytics engineering, or a comparable technical role.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and experience.
• At least 1 year of hands-on experience building ETL/ELT pipelines and developing SQL.
• Working knowledge of Big Data solutions and NoSQL databases.
• At least 1 year of experience with, or a solid conceptual understanding of, Python and its application to data processing and analysis.
• Conceptual understanding of cloud-based data environments such as AWS, Azure, or GCP.
• Strong problem-solving and analytical skills, attention to detail, and a focus on data accuracy.
• Enthusiasm for learning new technologies and building innovative data solutions.

Nice To Haves

• Experience with dbt for ETL/ELT pipelines.
• Familiarity with ETL tooling and modern IDEs or development environments.

Responsibilities

• Support, maintain, and optimize components of the enterprise data architecture used for analytics and production reporting.
• Partner with business stakeholders and Business Intelligence developers to analyze business questions and deliver data-driven answers.
• Develop and maintain enhancements to the enterprise data warehouse, integrating data sources and business requirements reliably and at scale.
• Build, maintain, and extend ETL transformation processes that populate dimensional data models, using version control, modular SQL design, testing, and documentation practices.
• Implement data quality checks and validation logic throughout data pipelines, identifying anomalies, reconciliation gaps, and upstream source issues.
• Develop and schedule workflows using orchestration tools such as Apache Airflow, including dependency management, retry logic, and monitoring.
• Triage, troubleshoot, and resolve issues across data solutions in collaboration with technical and business partners.
• Document data flows, models, and processes; participate in code reviews and knowledge sharing.
• Provide exceptional experiences for guests, partners, and team members, and adhere to appearance and presentation guidelines while on-site.

Benefits

• Access to tools and resources for employee upskilling and career development.
• Support for understanding interests and purpose, harnessing talents, and obtaining skills for career progression.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level