Sr. Data Engineer (HYBRID)

Equinox • New York, NY

1d • $145,000 - $160,000 • Hybrid

About The Position

Equinox is seeking a Sr. Data Engineer to join their technology team. This hands-on role will build and continuously evolve the data platform, business applications, and integration tools. The role is pivotal in shaping the company's data strategy, ensuring scalability, reliability, and secure solutions. The ideal candidate will be a hands-on engineer with strong knowledge of AWS Products to help build data pipelines, create jobs, and manage the quality of the data warehouse and integrated tools. This is a hybrid role located in the NYC office, requiring 4 days a week in the office.

Requirements

• 6+ years of experience in software/data engineering, with a proven track record of building robust data systems
• 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
• 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