Associate Data Platform Engineer

MSG Entertainment Holdings • New York City, NY

1d • Onsite

About The Position

The Associate Data Platform Engineer supports, enhances, and maintains MSG Entertainment’s data platforms for analytics and for integrating business and customer-facing applications. The role works with data across MSG’s business units, including the Knicks, Rangers, Rockettes, and concerts 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 helps maintain the enterprise data architecture and data warehouse, builds and improves ETL transformation processes and dimensional models, and develops scheduled workflows. The role also partners with business stakeholders and Business Intelligence developers to answer business questions, implements data quality checks, troubleshoots data issues, and documents data flows, models, and processes. The position uses Python, SQL, Amazon Redshift, and Amazon Athena, and calls for collaboration through code review and knowledge sharing. On-site team members are expected to follow appearance and presentation guidelines.

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; dbt is preferred.
• 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 provide data-driven answers.
• Enhance the enterprise data warehouse and reliably integrate new data sources and business requirements.
• Build, maintain, and extend ETL transformation processes that populate dimensional data models, using version control, modular SQL design, and testing practices.
• Implement data quality checks and validation logic throughout pipeline lifecycles, 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 with technical and business partners, addressing root causes and implementing durable fixes.
• Document data flows, models, and processes, and collaborate through code review and knowledge sharing.
• Provide exceptional experiences for guests, partners, and team members, including adherence to appearance and presentation guidelines while on-site.

What This Job Offers

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