Senior Data Engineer (New York)

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.

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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity / affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy : https : / / insightglobal.com / workforce-privacy-policy / .

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

Direct 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