Sr. Data Engineer (HYBRID)

Equinox; New York (NY); Hybrid; USD 145,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Complimentary club membership

Perks and incentives

Job summary

Equinox is seeking a Sr. Data Engineer to join our technology team in NYC. This hands-on role will build and evolve the data platform, data pipelines, and integration tools in a hybrid setting.

The ideal candidate will have strong AWS experience, expertise in data warehouses, and the ability to partner with Data Science, Analytics and Business teams to deliver trustworthy datasets and scalable solutions.

Qualifications

• 6+ years of software/data engineering experience with enterprise-scale systems.
• Expertise in designing data warehouses using star schemas and dimensional modeling.
• Strong SQL skills with complex queries and large datasets; Python a plus.
• Hands-on AWS experience (Redshift, S3, Glue, Athena, EMR, Lambda).
• Familiarity with dbt, ELT/analytics engineering practices, and data governance.

Responsibilities

• Design, implement and maintain scalable data architectures and pipelines.
• Build data models and schemas in Redshift to enable self-service analytics.
• Monitor and optimize data jobs for high availability and performance.
• Implement data quality checks, validation rules, and alerting.
• Collaborate with Data Science, Analytics and Business teams to meet data needs.
• Maintain technical documentation and version-controlled workflows.

Skills

SQL

Python

AWS

Data modeling

Mentorship

ELT

Data governance

Tools

Redshift

S3

dbt

Git

Lambda

Job description

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 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.