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DATA ENGINEER IV

Hudson Manpower · Cincinnati, OH, United States · Onsite

  • Professional Services
  • 11–50 employees
  • Hoboken, New Jersey

Weak hiring record · median 497 days open

2626

Hiring signal

Ghost risk

Open 461 days · How we score

All reasons
  • Open 461 days
  • 84% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board
  • Publishes a salary range

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DATA ENGINEER IV at Hudson Manpower. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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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