Data Engineer IV

What you get at this onsite Data Engineer IV position in Cincinnati, OH include a competitive base pay of USD 68 - 70 per hour, comprehensive medical, dental, and vision coverage, optional life and disability insurance, a 401(k) plan with company match and potential profit sharing, paid vacation time, paid bench time, a training allowance, and referral bonuses. You will join Hudson Manpower and focus on building scalable data pipelines that power machine learning models deployed in AWS SageMaker, collaborating within the Machine Learning Data Enablement squad of the Data Insights Tribe.

Benefits

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

Responsibilities

• Join the Machine Learning Data Enablement squad in the Data Insights Tribe.
• Help build high quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS SageMaker.
• Deliver curated, production-ready datasets in collaboration with data scientists and ML engineers.
• Work closely with data scientists and ML engineers to shape how machine learning data is delivered across the bank.
• Maintain in-office presence: in office 4 days a week minimum (Monday-Thursday).
• Help define how data powers machine learning at scale.

Requirements

• Proficiency in Python
• Proficiency in SQL
• Location: Cincinnati, OH - onsite
• USC and GC Holder candidates only
• In-office 4 days a week minimum (Monday-Thursday)

Technologies

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

Top skills

• Python
• SQL
• AWS Sagemaker
• DBT
• Snowflake