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CBTS

Data Engineer-Machine Learning

CBTS, Cincinnati, Ohio, United States, 45208

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This range is provided by CBTS. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Talent Acquisition Lead-Professional Services

CBTS has partnered with a client in the Cincinnati, OH area to identify a Data Engineer within Machine Learning-related projects on a 12 month contract opening. This role will require onsite work within the Cincinnati, OH area at this time. Candidates must be W2 eligible. CLIENT WILL NOT CONSIDER C2C-C2H-3RD PARTY-1099 CANDIDATES AT THIS TIME! Were hiring a

Data Engineer

to join our newly launched Machine Learning Data Enablement team at our client. This team is focused on building high-quality, scalable data pipelines that power machine learning models across the enterprise, deployed in AWS SageMaker. Were looking for an professional whos excited to grow in a hands-on data engineering role. Ideal candidates will have experience working on

machine learningrelated 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. Youll 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 were happy to help you learn. This is a hands-on role with high visibility and high impact. Youll be joining a team at the ground level, helping to define how data powers machine learning at scale. Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Contract Job function

Job function

Information Technology Industries

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