Senior Data Engineer

Job Title: Senior Data Engineer

Location: Cincinnati, OH 45202

Duration: 12 Months

Job Description:

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.