Data Engineer IV

Hudson Manpower

  • Cincinnati, Ohio
  • 30+ days ago

    Highlights

    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.

    Numbers & Facts

    LocationCincinnati, Ohio
    Websitehttps://www.hudsonmanpower.com

    Description

    Job description

    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!

    Job requirements

    Python

    SQL

    Nice To Have

    AWS Sagemaker

    DBT

    Snowflake

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