DATA ENGINEER IV
Role details
Job location
Tech stack
Job description
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.
Requirements
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.
Benefits & conditions
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
You'll be eligible to earn referral bonuses!