Data Engineering Intern
Listed on 2026-02-16
-
Engineering
Data Engineer, Data Science Manager -
IT/Tech
Data Engineer, Data Analyst, Data Science Manager
Data Engineering Intern
Are you seeking a challengingintern experience in a dynamic organization and employee-centered culture? Areyou interested in working for a growing financial institution where your performance may be recognized? Would you like to join a company that is dedicated to making a noteworthy impact in our community? If you answered "yes"to one or more of these questions, do not miss an opportunity to considerjoining our team at FHLB Cincinnati.
General Summary:
As aData Engineering Intern you will gain valuable real-world experience through projects with exposure through the senior leadership level. The Data Engineering Intern will bea member of the Data & Analytics Agile scrum team who will assist in thedesign, development, and testing of Enterprise Data Warehouse.
Principal Duties and Responsibilities:
- Assists in following standard development and enhancement process to ETL pipelines using Azure Data Factory
- Document data engineering processes, as needed
- Investigate data related issues by executing SQL queries
Qualifications:
- Knowledge at a level normally acquired through completion of the first three years of a Bachelor's degree from an accredited college or university - preferably in a relevant field of study (i.e. Business Analytics, Data Science, Finance, Economics, Math, or Statistics). Completion of graduate-level coursework a plus
- Theoretical knowledge of Azure Data Factory such as Datasets, Pipelines, Activities, Tasks, Data Flows. Hands on experience preferred
- Understanding and writing SQL queries/views
- Conceptual understanding of Data Warehouse design and modeling
- Desire to learn and teach data engineering techniques in a collaborative environment on an Agile scrum team
- Preferred experience utilizing R, SQL, Python and/or Snowflake.
- Effective verbal and written communication skills
- Financial aptitude is helpful to understand business processes
Working Conditions:
Normal hybrid office environment with flexibility.
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