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The intern will build and deploy data pipelines in the cloud using Python, Spark, and SQL within the Databricks platform. They will also assist with ad-hoc data analysis, documentation of data governance protocols, and the creation of data and analytics proofs of concept.
We are seeking a highly motivated Data Engineering Intern to join our Data Engineering group within our Artificial Intelligence team. The ideal candidate is passionate about data engineering, analytics, data exploration and leveraging AI and has a strong desire to learn and develop their skills. As a Data Engineering Intern, you will work with experienced Data Engineers in developing and deploying data pipelines in the cloud.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
Mental Requirements:
Physical Requirements and Working Conditions:
Base compensation ranges from $21.00 to $30.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 9/17/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 11/17/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
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