Sr. Data Engineer (HYBRID) at Equinox in New York, NY

Job Description

About this kind of role

What a Sr. Data Engineer (HYBRID) usually does. The employer's own details are in the listing.

Typically does: Data engineers design, build, and maintain data infrastructure to support data scientists, analysts, and other stakeholders. They develop and implement data pipelines, ensuring data is reliable, accessible, and optimized for various applications. This often involves transforming raw data into usable formats and building data warehouses or data lakes. They also monitor data systems for performance and troubleshoot issues.

Tools and skills: Proficiency in SQL, Python, cloud platforms like AWS or Azure, data warehousing technologies (e.g., Snowflake, Redshift), and ETL (Extract, Transform, Load) processes is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work collaboratively in a fast-paced environment often thrive in this role.

??? people applied to this job

Report Job

Stuck turning a job you did into resume lines? Say what you did in your own words, however rough, and get it back as five lines that start with the action. Write bullet points →