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Job Description

Hudson Manpower is seeking a Data Engineer IV in Cincinnati, onsite, to build scalable data pipelines powering machine learning models deployed in AWS SageMaker as part of the Machine Learning Data Enablement squad.

Responsibilities

  • Collaborate with the Machine Learning Data Enablement squad within the Data Insights Tribe to advance data engineering initiatives.
  • Design, implement, and maintain scalable, high-quality data pipelines that feed enterprise machine learning models deployed in AWS SageMaker.
  • Provide curated, production-ready datasets in partnership with data scientists and ML engineers.
  • Work with data scientists and ML engineers to shape how ML data is delivered across the organization, aligning with banking needs.
  • Maintain on-site presence with a minimum of four days in the office per week (Monday through Thursday).
  • Help define data strategies that enable machine learning at scale across the enterprise.

Requirements

  • Proficiency in Python.
  • Proficiency in SQL.
  • Location: Cincinnati, OH onsite
  • Candidates must hold USC or GC.
  • In-office presence required: minimum four days per week (Monday-Thursday).

Technologies

  • Python
  • SQL
  • AWS Sagemaker
  • DBT
  • Snowflake
  • Databricks

Benefits

  • Competitive base salary
  • Medical, dental, and vision insurance coverage
  • Optional life and disability insurance provided
  • 401(k) with company match and optional profit sharing
  • Paid vacation time
  • Paid Bench time
  • Training allowance offering
  • Referral bonuses

Salary

USD 68 - 70 per hour

Top Skills

  • Python
  • SQL
  • AWS Sagemaker
  • DBT
  • Snowflake

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