DATA ENGINEER IV

Hudson Manpower

$145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in data engineering or a related field
  • Proficient in Python and SQL for data manipulation and analysis
  • Familiarity with AWS SageMaker for deploying machine learning models
  • Experience with Snowflake and DBT for data warehousing
  • Strong collaborative skills, particularly in working with data science teams

Responsibilities

  • Collaborate with data scientists to design and implement scalable data pipelines
  • Develop high-quality datasets to support machine learning initiatives
  • Participate in defining data workflows to optimize ML deployment
  • Support the Machine Learning Data Enablement team in shaping data infrastructure
  • Engage in hands-on tasks to improve data processing techniques

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Optional life and disability insurance coverage
  • 401(k) plan with company match and potential profit sharing
  • Generous paid vacation and bench time
  • Dedicated training allowance for professional development
  • Eligibility for referral bonuses
Full 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!

Python

SQL

Nice To Have

AWS Sagemaker

DBT

Snowflake

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