Sr. Data Engineer at Equinox

Equinox is seeking a 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. 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