Sr. Data Engineer (HYBRID)

Sr. Data Engineer – Equinox Group 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. The ideal candidate is a hands‑on engineer with strong knowledge of AWS products to build data pipelines, create jobs, manage the quality of the data warehouse and integrated tools. This is a hybrid role located in our NYC office. 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: $145k - $160k Benefits 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 access Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States. #J-18808-Ljbffr Equinox