Sr. Data Engineer (ON-SITE)
Equinox Fitness Club
- New York, New York, United States
- New York, New York, United States
About
RESPONSIBILITIES
Design, develop, and maintain scalable, efficient data pipelines to support ETL/ELT processes across multiple sources and systems
Partner with Data Science, Analytics, and Business teams to understand data needs, prioritize use cases, and deliver reliable datasets and models
Monitor, optimize, and troubleshoot data jobs, ensuring high availability and performance of data infrastructure
Build and manage data models and schemas in Redshift and other data technologies, enabling self-service analytics
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
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
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)
Advanced Python, including experience building APIs, scripting ETL processes, and automating workflows
Expert in SQL, with ability to write complex queries, optimize performance, and work across large datasets
Hands‑on experience with AWS data ecosystem including Redshift, S3, Glue, Athena, EMR, EC2, DynamoDB, Lambda, and Redis
Strong understanding of data warehousing and data modeling principles (e.g., star/snowflake schema, dimensional modeling)
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
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
Equinox is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.