
Data Engineer
We’re looking for a product oriented Data Engineer to help us design, build and scale data products to power personalized fitness content discovery and data-driven features for our members. Build and deploy end-to-end data pipelines to power ML models, algorithms, A/B testing, and data products at scale. Collaborate with data scientists and ML Ops engineers to refine and scale recommendation systems to power personalized content discovery. Partner with data scientists and analysts to build tooling and dashboards to monitor model performance and trends in business metrics. Think outside of the current technology/stack limitations to push the boundaries on what is possible and deliver feasible solutions collaboratively. Help lead and scale the ML Engineering platform team in a fast paced, high-growth startup.
2-3+ years of experience working in a Software Engineering or Data Engineering capacity
3+ years of hands on experience with AWS
Expertise in building serverless and containerized deployments (AWS preferred)
Ability to perform analysis and write complex transformations in SQL
Knowledge of relational databases, big data concepts and distributed computing frameworks
Bonus: An interest in the fitness industry and biometric data
GIT
Python
shell scripting
CloudFormation
Redshift
Spark
Presto
Airflow
Terraform
Snowflake
Time Management Skills
Verbal communication
Detail Oriented
written communication
Results-Driven
Problem Solving Skills
Multi-tasker
Flexible Approach
According to JobzMall, the average salary range for a Data Engineer in 31 Hudson Yards, New York, NY 10001, USA is $112,000 to $166,000 per year. This range is based on data from employers and anonymous employees in the area.
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Equinox is a temple of well-being, featuring world-class personal trainers, group fitness classes, and spas. Voted Best Gym in America by Fitness Magazine.

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