Equinox is hiring a Sr. Data Engineer (HYBRID)

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