Sr. Data Engineer (ON-SITE)

Equinox • New York, NY

2d • $145,000 - $160,000 • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• prior leadership or mentorship experience is a plus

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

Benefits

• competitive salary
• benefits
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed