Sr. Data Engineer (ON-SITE)

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.

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

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

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
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