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Salary
$136k – $140k per year
Location
In office (Cincinnati)
Seniority
Senior
Overview
Company
Impact
Profile match
Hudson Manpower is a recruitment and workforce solutions firm that supplies professional, technical and skilled manpower to employers in the United States, India and the Gulf states, headquartered in Hoboken, New Jersey, next to Jersey City. Founded in 2019, it is a licensed recruitment agent under the Government of India and reports more than 650 placements in 2025 across oil and gas, EPC, industrial, hospitality and IT clients. Its openings are client roles such as HVAC and process engineers, QC inspectors, buyers and billing engineers for pipeline and petrochemical projects in Saudi Arabia, Oman and Dubai, plus CNC machinists, chemists and IT contractors.

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!

Requirements

Python

SQL

Nice To Have

AWS Sagemaker

DBT

Snowflake

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