Data Engineer IV
United IT Solutions
Job Title: Data Engineer IV
Work Mode: Onsite (minimum 4 days/week: Monday-Wednesday, Friday) Job Summary:
Seeking a Data Engineer IV to join its newly formed Machine Learning Data Enablement Team , part of the Customer Recommendation and Insights Squad within the Data Insights Tribe . This is an exciting opportunity to work on cutting-edge data pipelines that support enterprise-level machine learning models deployed in AWS SageMaker . Key Responsibilities:
Work Mode: Onsite (minimum 4 days/week: Monday-Wednesday, Friday) Job Summary:
Seeking a Data Engineer IV to join its newly formed Machine Learning Data Enablement Team , part of the Customer Recommendation and Insights Squad within the Data Insights Tribe . This is an exciting opportunity to work on cutting-edge data pipelines that support enterprise-level machine learning models deployed in AWS SageMaker . Key Responsibilities:
- Build and maintain scalable, high-quality data pipelines to support ML model training and deployment.
- Collaborate with data scientists and ML engineers to deliver curated, production-ready datasets.
- Contribute to the foundation and best practices for machine learning data infrastructure across the bank.
- Assist in designing and implementing robust data workflows using modern tools and platforms.
- 1-5 years of professional experience in data engineering or a related field.
- Strong proficiency in SQL and Python .
- Excellent collaboration skills and an eagerness to work closely with cross-functional teams.
- Experience working on ML-related projects or supporting data science teams.
- Familiarity with cloud platforms , especially AWS SageMaker .
- Knowledge of Snowflake , dbt , or other modern data transformation tools.
- Exposure to ML tools like Databricks is a plus.
- This role requires onsite presence at least four days a week at the Cincinnati office.
- Hands-on role with high visibility and direct impact on enterprise ML initiatives.
- A great opportunity for early-career professionals eager to grow in the machine learning and data engineering space.
Vacancy posted 10 hours ago
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