Jobs via Dice
Title:
Data Engineer IV
Location:
Cincinnati, OH
Duration:
12+ Months with possible extensions
Technical Skills – Must Have:
ETL
Python
SQL
Nice to Have:
(not specified)
Job Description:
We are hiring a Data Engineer to join the newly launched Machine Learning Data Enablement squad at Fifth Third Bank. This team focuses on building high‑quality, scalable data pipelines that power machine‑learning models across the enterprise, deployed in AWS SageMaker.
We seek an early‑career professional excited to grow in a hands‑on data‑engineering role. Ideal candidates will have experience working on machine‑learning related projects or partnering with data‑science teams to support model development and deployment, and have a strong interest in enabling ML workflows through robust data infrastructure.
You will 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.
Requirements include 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 are happy to help you learn.
This is a hands‑on role with high visibility and high impact. You will be joining a team at the ground level, helping to define how data powers machine‑learning at scale.
Seniority Level:
Entry level
Employment Type:
Full‑time
Job Function:
Information Technology, Software Development
Referrals:
Referrals increase your chances of interviewing at Jobs via Dice by 2x.
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Data Engineer IV
Location:
Cincinnati, OH
Duration:
12+ Months with possible extensions
Technical Skills – Must Have:
ETL
Python
SQL
Nice to Have:
(not specified)
Job Description:
We are hiring a Data Engineer to join the newly launched Machine Learning Data Enablement squad at Fifth Third Bank. This team focuses on building high‑quality, scalable data pipelines that power machine‑learning models across the enterprise, deployed in AWS SageMaker.
We seek an early‑career professional excited to grow in a hands‑on data‑engineering role. Ideal candidates will have experience working on machine‑learning related projects or partnering with data‑science teams to support model development and deployment, and have a strong interest in enabling ML workflows through robust data infrastructure.
You will 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.
Requirements include 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 are happy to help you learn.
This is a hands‑on role with high visibility and high impact. You will be joining a team at the ground level, helping to define how data powers machine‑learning at scale.
Seniority Level:
Entry level
Employment Type:
Full‑time
Job Function:
Information Technology, Software Development
Referrals:
Referrals increase your chances of interviewing at Jobs via Dice by 2x.
#J-18808-Ljbffr