Sr. Data Engineer (ON-SITE)

Job description

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 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. 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 APIs, scripting ETL processes, and automating workflows Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling) Familiarity with dbt Labs and modern ELT/analytics engineering practices Experience working with structured, semi-structured, and unstructured data Knowledge of data governance, quality assurance, and observability tools to ensure data integrity and trust Proficiency in creating technical documentation, SOPs, and maintaining clear communication with cross-functional teams A problem-solving mindset, with the ability to take ownership and drive solutions from design to deployment Pay Transparency: $145k - $160k Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: We offer competitive salary, benefits, and industry leading commission opportunities for club employees Complimentary Club membership Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com/ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.