Sr. Data Engineer (On-Site)

Company Description

OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver.

OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company.

If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you.

Job Description

Equinox is seeking a Sr. Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools.

This is a full-time role located in our NYC office. THIS ROLE IS NOT REMOTE. ONLY CANDIDATES LOCAL TO THE NYC METRO AREA WILL BE CONSIDERED.

RESPONSIBILITIES

• Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems
• Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models
• Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure
• Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics
• Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data
• Leverage AWS services like Glue, Lambda, S3, Athena, and EMR to build modular, reusable data solutions
• Drive improvements in data lineage, cataloging, and documentation to ensure transparency and reusability of data assets
• Create and maintain technical documentation and version-controlled workflows (e.g., Git, dbt)
• Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices
• Participate in sprint planning, code reviews, and team retrospectives as part of an Agile development process
• Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation

Qualifications

• 6+ years of experience in software/data engineering, with a proven track record of building robust data systems (prior leadership or mentorship experience is a plus)
• Advanced Python, including experience building