Sr. Data Engineer (HYBRID)

Equinox • New York, NY

1d • $145,000 - $190,000 • Hybrid

About The Position

Equinox is seeking a Sr. Data Engineer to join its technology team. This hands-on role will build and continuously evolve the data platform, business applications, and integration tools. The engineer will help shape data strategy and ensure scalable, reliable, and secure solutions, building data pipelines, creating jobs, and managing the quality of the data warehouse and integrated tools.

This is a hybrid role based in Equinox’s New York City office, with an in-office requirement of four days per week.

Requirements

• At least 6 years of experience in software or data engineering, with a proven track record of building robust data systems.
• Expertise designing and implementing enterprise data warehouses, including star schemas and dimensional modeling techniques.
• Expert-level SQL skills, including writing complex queries, optimizing performance, and working across large datasets.
• Hands-on experience with the AWS data ecosystem, including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis.
• 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 and SOPs and maintaining clear communication with cross-functional teams.
• Problem-solving mindset and ability to take ownership and drive solutions from design through deployment.
• Legal right to work in the United States.

Nice To Haves

• Prior leadership or mentorship experience.
• Python proficiency.
• Familiarity with dbt Labs and modern ELT and analytics engineering practices.

Responsibilities

• Design, implement, and maintain scalable data architecture, pipelines, and modeling strategies for the enterprise data warehouse on AWS.
• Build and manage data models and schemas in Redshift and other data technologies to enable self-service analytics.
• Monitor, optimize, and troubleshoot data jobs to ensure high availability and performance of data infrastructure.
• Implement data quality checks, validation rules, and alerting mechanisms.
• Use AWS services such as 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.
• Improve data lineage, cataloging, and documentation to support transparency and reusability of data assets.
• Create and maintain technical documentation and version-controlled workflows such as Git and dbt.
• Promote continuous improvement, mentor peers, and advocate for scalable, 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 to support long-term scalability.
• Stay current on industry trends and emerging technologies to identify opportunities for innovation and automation.

Benefits

• Competitive salary and benefits.
• Industry-leading commission opportunities for club employees.
• Complimentary Club membership.
• Perks and incentives on 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