DATA ENGINEER IV

hudsonmanpower; Cincinnati (OH); On-site; USD 79,556 - 113,307; Full time

Benefits offered by this job

Medical, dental, and vision insurance coverage

401(k) with company match

Paid vacation time

Training allowance offering

Referral bonuses

Job summary

hudsonmanpower is hiring a Data Engineer IV in Cincinnati, OH. The role involves building scalable data pipelines for machine learning at Fifth Third Bank, requiring strong skills in Python and SQL.

Ideal candidates are early-career professionals eager to grow in a hands-on role, working closely with data scientists to deliver curated datasets. A strong interest in modern data tooling and collaboration is essential. The position offers competitive salary and benefits including insurance and 401(k) with a match.

Qualifications

• Experience with Python and SQL required.
• Early-career professional excited to grow in data engineering.
• Experience with machine learning-related projects preferred.

Responsibilities

• Build scalable data pipelines for machine learning models.
• Collaborate with data scientists and ML engineers.
• Deliver production-ready datasets.

Skills

Python

SQL

Tools

AWS Sagemaker

DBT

Snowflake

Job description

Job Title

Data Engineer IV

Location

Cincinnati, OH - onsite

Payrate

$70/hr on W2.

Eligibility

USC and GC Holder candidates only.

Required Skills

• Python
• SQL

Nice-to-Have Skills

• 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
• Referral bonuses!