Job DescriptionEquinox 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
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 Transparency: $145k - $160k
Additional InformationAS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: - We offer 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
NOTE: This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department.
