Full-time jobs in Cincinnati, OH

About the role

We're looking for an early-career professional who's excited to grow in a hands-on data engineering role. Ideal candidates will have experience working on machine learning-related projects or have partnered with data science teams to support model development and deployment — and have a strong interest in enabling ML workflows through robust data infrastructure. You'll work closely with data scientists and ML engineers to deliver curated, production-ready datasets and help shape how machine learning data is delivered across the bank. You should have solid SQL and Python skills, a collaborative mindset, and a strong interest in modern data tooling. Experience with Snowflake, dbt, or cloud data platforms is a strong plus. Familiarity with ML tools like SageMaker or Databricks is helpful but not required — we're happy to help you learn. This is a hands-on role with high visibility and high impact. You'll be joining a team at the ground level, helping to define how data powers machine learning at scale.

What you'll bring

• We're hiring a Data Engineer to join our newly launched Machine Learning Data Enablement team at Fifth Third Bank.
• This team is focused on building high-quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS SageMaker.
• We're looking for an early-career professional who's excited to grow in a hands-on data engineering role.
• Ideal candidates will have experience working on machine learning-related projects or have partnered with data science teams to support model development and deployment — and have a strong interest in enabling ML workflows through robust data infrastructure.
• You'll work closely with data scientists and ML engineers to deliver curated, production-ready datasets and help shape how machine learning data is delivered across the bank.
• You should have solid SQL and Python skills, a collaborative mindset, and a strong interest in modern data tooling.
• This is a hands-on role with high visibility and high impact.
• You'll be joining a team at the ground level, helping to define how data powers machine learning at scale.
• AWS Sagemaker
• DBT
• Snowflake
• Experience with Snowflake, dbt, or cloud data platforms is a strong plus.

Benefits