The Cigna Group's Technology Development Program - Data & Analytics Engineering Track Summer Internship

What you'd do

• Meaningful Role Work: Work within the Data & Analytics Engineering track, contributing to the design, development, and optimization of data pipelines, platforms, and analytical tools.
• You’ll gain hands-on experience transforming raw data into actionable insights, deepening your skills in data architecture, engineering, and visualization while helping drive data-informed decision-making across The Cigna Group.
• Learning From Others: Engage with peers, mentors, and cross-functional partners through community-building activities and collaborative initiatives.
• Whether you’re supporting recruiting efforts, driving innovation, promoting community, or enhancing onboarding experiences, you’ll learn by doing and growing through shared knowledge.
• Formal Education and Curriculum: Participate in structured learning through both core and track-specific curriculum.
• This includes technical training, leadership development, and exposure to the business designed to support your growth as a well-rounded technologist.
• Community Building: Build meaningful relationships across the organization through networking events, mentorship, cross-functional collaboration, or informal peer engagement.
• Develop strong relationships that support your personal and professional growth.

What they want

• Currently pursuing a degree in Data Science, Computer Science, Information Technology, or a related field, with an emphasis on data engineering and analytics.
• Strong understanding of data modeling, ETL (Extract, Transform, Load) processes, and data warehousing concepts.
• Proficiency in programming languages such as Python, Java, or Scala for data manipulation and analysis.
• Experience with SQL for database querying and data management, along with familiarity with NoSQL databases such as MongoDB or Cassandra.
• Basic knowledge of data visualization tools such as Tableau, Power BI, or similar platforms to present data insights effectively.
• Familiarity with big data technologies such as Hadoop, Spark, or cloud-based data services such as AWS, Google Cloud, or Azure is a plus.
• Strong analytical and problem-solving skills, with the ability to work with large data sets and derive meaningful insights.
• Good understanding of data governance and data quality concepts, with attention to data accuracy and integrity.
• Excellent verbal and written communication skills to collaborate with cross-functional teams and convey technical information clearly.
• A proactive attitude toward learning and enthusiasm for staying current on trends and technologies in data analytics engineering.

About Cigna

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients.