DATA ENGINEER IV
At a glance
Mid-level Data Engineering role at Hudson Manpower. Cincinnati · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Hudson Manpower has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build dependable data pipelines that provide machine learning models with production-ready datasets
- Work with data scientists and ML engineers to prepare data for model development and deployment
- Help establish how data is delivered to support machine learning workflows across the bank
What you bring
- Strong working skills in Python and SQL
- Experience with machine learning projects or collaboration with data science teams on model work
Who this fits
This hands-on role suits an early-career data engineer interested in supporting machine learning workflows and growing their skills. You’ll work onsite in Cincinnati at least four days a week, Monday through Thursday. Candidates must be U.S. citizens or green card holders.
From the employer
Job Title: Data Engineer IV
Location: Cincinnati, OH - onsite
Payrate $70/hr on W2.
USC and GC Holder candidates only.
TOP SKILLS:
Must Have
Python
SQL
Nice To Have
AWS Sagemaker
DBT
Snowflake
What You'll Do
Squad: Machine Learning Data Enablement squad in the Data Insights Tribe
Required: In office 4 days a week minimum (Monday-Thursday)
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. 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 Get
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!
Python
SQL
Nice To Have
AWS Sagemaker
DBT
Snowflake
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