Machine Learning Engineer / Data Scientist (Databricks & Snowflake)

New York, NY, US • Posted 20 hours ago • Updated 16 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Apache Spark
  • Access Control
  • ELT
  • Databricks
  • Data Modeling
  • Machine Learning Operations (ML Ops)
  • Unity
  • Snow Flake Schema
  • SQL
  • Machine Learning (ML)
  • Workflow
  • Continuous Integration
  • Management
  • Data Warehouse
  • Analytics

Summary

Role: Machine Learning Engineer / Data Scientist (Databricks & Snowflake)

Experience: 10 years

Location: NYC

 

Required Skills:

ML Engineering & MLOps
• Productionize ML models using MLflow for experiment tracking, model registry, and lifecycle management
• Implement CI/CD pipelines for ML workflows
• Monitor model performance and manage version control
• Ensure reproducibility and governance of ML assets
• Manage feature pipelines and model retraining strategies
________________________________________
Databricks & Distributed Processing
• Build scalable data pipelines using Databricks (Spark)
• Optimize distributed workloads for performance and cost efficiency
• Implement notebook-based and production-grade job workflows
• Leverage Unity Catalog for governance, lineage, and secure data/model access control
________________________________________
Data Warehousing & Snowflake
• Design and optimize data models in Snowflake
• Write advanced SQL queries for transformation and analytics
• Integrate Snowflake with Databricks for seamless data workflows
• Support ELT/ETL design and performance tuning

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90718572
  • Position Id: 8945677
  • Posted 20 hours ago
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