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 scalab