Sr. Data Engineer - Feature Store, ML Platform

Sr. Data Engineer - Feature Store, ML Platform & Performance Optimization 1776-1

• Hourly pay: $80-$90/hr
• Worksite: Leading music streaming company (New York, NYC 10020 or Washington, DC 20002 - Hybrid)
• W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
• 40 hours/week, 6 Month Assignment, Possible extension

A leading music streaming company seeks a Sr. Data Engineer - Feature Store, ML Platform & Performance Optimization. The successful candidate will design, build, and optimize large-scale data systems powering machine learning and analytics. The role focuses on developing the feature store, building robust data pipelines, and ensuring scalable, efficient performance across Databricks and AWS environments.

Sr. Data Engineer - Feature Store, ML Platform & Performance Optimization Responsibilities:

• Build and optimize pipelines using Databricks (PySpark, Delta Lake, SQL) and AWS (S3, Glue, EMR, Lambda, Kinesis).
• Develop and maintain a centralized Feature Store.
• Support model deployment, CI/CD, and data quality frameworks.
• Collaborate with data scientists and ML engineers to productionize ML workflows.

Sr. Data Engineer - Feature Store, ML Platform & Performance Optimization Qualifications:

• 7-10+ years in data engineering or distributed systems.
• Deep expertise with Databricks and AWS.
• Strong skills in Python (preferred), Scala, or Java.
• Experience with Feature Stores, ML pipelines, and CI/CD.
• Experience with Unity Catalog, MLflow, Airflow, Kubernetes, and data observability tools is preferred.