Sr. Data Engineer (On-Site)

Equinox is seeking a Sr. Data Engineer to join our technology team. This role is a hands-on position responsible for the build and continued evolution of the data platform, business applications and integration tools. We are looking for a hands on engineer that can recommend best practices to work with enterprise data. The ideal candidate is going to be a hands on engineer, and very strong with AWS Products to help build out data pipelines, create jobs, manage the quality of the data warehouse and integrated tools.This is a full-time role located in our NYC office. THIS ROLE IS NOT REMOTE. ONLY CANDIDATES LOCAL TO THE NYC METRO AREA WILL BE CONSIDERED. 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