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ture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Our Purpose: We pioneer the innovations that move and connect people to what matters.
Are you excited about innovation, entrepreneurship and solving complex business problems? Then we are looking for you!
Our program offers
11 weeks of work experience (May 27, 2026 - August 7, 2026)
Executive and peer networking opportunities
Independent and team project experiences
Philanthropic activities
Career development
Opportunity to apply for full-time career positions
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay
Work Life Balance: Flexible hybrid work environment, 2-days a week in office
RESPONSIBILITIES
The Data Integration team is responsible for extracting data from various sources, transforming the data as required, and loading it to various targets (ETL.) This team develops, maintains and supports the Enterprise Data Warehouse system, corresponding data marks and data interfaces between operational systems. Interns will get hands-on learning and will analyze and will provide support for the team by working with documentation to structure processes and data for accuracy, efficiency, and maintainability.
Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation
Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
Contribute to the definition and refinement of processes and procedures for the data engineering practice
Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest
Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation
Perform other duties as assigned
Conform with all company policies and procedures
QUALIFICATIONS