Sr. Data Engineer (ON-SITE) at Equinox

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Oct, 26

Salary

160000.0

Posted On

21 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Redshift, SQL, Python, dbt, Data Modeling, ETL/ELT, Data Architecture, Glue, Lambda, S3, Athena, EMR, Git, Agile, Data Governance

Industry

Wellness and Fitness Services

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 result. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, 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, we are excited to discuss career opportunities with you. Job Description Equinox is seeking a Sr. Data Engineer to join our technology team. This hands-on role will build and continuously evolve the data platform, business applications, and integration tools. You will play a pivotal role in shaping our data strategy; ensuring scalability, reliability and secure solutions. The ideal candidate is going to be a hands-on engineer, with strong knowledge of AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a hybrid-role located in our NYC office. You will be in office 4X a week. RESPONSIBILITIES Design, implement, and maintain scalable data architecture, pipelines and modeling strategies that power our enterprise data warehouse on AWS Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure 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 Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models 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 Promote reusable patterns, modular designs, and automation where possible to ensure long-term scalability 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) Expertise in designing and implementing enterprise data warehouses, including star schemas and dimensional modeling techniques Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets; python proficiency is a strong plus Hands-on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis 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 NOTE: 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.

Responsibilities

Design and maintain scalable data architecture and pipelines on AWS to power the enterprise data warehouse. Partner with cross-functional teams to deliver reliable datasets and promote modern data practices through automation and documentation.