Data Engineer IV

Job Title: Data Engineer IV


Work Mode: Onsite (minimum 4 days/week: Monday-Wednesday, Friday)

Job Summary:


Seeking a Data Engineer IV to join its newly formed Machine Learning Data Enablement Team , part of the Customer Recommendation and Insights Squad within the Data Insights Tribe . This is an exciting opportunity to work on cutting-edge data pipelines that support enterprise-level machine learning models deployed in AWS SageMaker .

Key Responsibilities:

• Build and maintain scalable, high-quality data pipelines to support ML model training and deployment.
• Collaborate with data scientists and ML engineers to deliver curated, production-ready datasets.
• Contribute to the foundation and best practices for machine learning data infrastructure across the bank.
• Assist in designing and implementing robust data workflows using modern tools and platforms.

Required Qualifications:

• 1-5 years of professional experience in data engineering or a related field.
• Strong proficiency in SQL and Python .
• Excellent collaboration skills and an eagerness to work closely with cross-functional teams.

Preferred Skills:

• Experience working on ML-related projects or supporting data science teams.
• Familiarity with cloud platforms , especially AWS SageMaker .
• Knowledge of Snowflake , dbt , or other modern data transformation tools.
• Exposure to ML tools like Databricks is a plus.

Additional Information:

• This role requires onsite presence at least four days a week at the Cincinnati office.
• Hands-on role with high visibility and direct impact on enterprise ML initiatives.
• A great opportunity for early-career professionals eager to grow in the machine learning and data engineering space.