Jobs via Dice
Data Engineer – Onsite W2 Contract Opportunity (Cincinnati, OH)
We’re hiring a Data Engineer for an onsite W2 contract opportunity in Cincinnati, OH. This role will join the newly launched Machine Learning Data Enablement squad in the Data Insights Tribe at Fifth Third Bank.
Technical Skills
ETL
Python
SQL
Job Description 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.
Work Arrangement: In‑office, 4 days a week minimum (Monday–Thursday).
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Software Development
How to Apply To apply, send a Word resume, work authorization, expected hourly rate, current location, availability for onsite work, skill stack, and LinkedIn profile. Referrals are appreciated.
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Technical Skills
ETL
Python
SQL
Job Description 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.
Work Arrangement: In‑office, 4 days a week minimum (Monday–Thursday).
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Software Development
How to Apply To apply, send a Word resume, work authorization, expected hourly rate, current location, availability for onsite work, skill stack, and LinkedIn profile. Referrals are appreciated.
#J-18808-Ljbffr