
Technology Development Program (TECDP) - Data & Analytics Engineering Track - Start Date: July 13, 2026
- Saint Louis, MO
- Permanent
- Full-time
- 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.
- Education: Full time candidates must have completed a bachelor’s or master’s degree in a technical program at the time of hire. Preferred degrees include Computer Science, Data Science, Machine Learning, and Artificial Intelligence.
- Other degrees are considered with coding experience such as Statistics, Mathematics, Robotics, Healthcare Analytics, or Bioinformatics.
- Technological Proficiencies: Familiarity with programming languages and tools such as Python, JavaScript, SQL, R, React, Power BI, AWS and relevant skills like Prompt Engineering or Tableau.
- AI-Native Mindset: Naturally integrates AI tools and techniques into data workflows—leveraging machine learning, generative AI, and automation to accelerate analysis, enhance predictions, and improve data-driven decision-making.
- Courses & Experiences: Academic coursework, projects, research, or internships that demonstrate hands-on experience with data modeling, analytics, machine learning, or business intelligence.
- Well Rounded: Leadership or involvement in student organizations, analytics clubs, or technical competitions (e.g., data hackathons, Kaggle challenges, case competitions) that showcase teamwork, creativity, and problem-solving.
- Effective Communication: Clearly and confidently share ideas with both technical and non-technical audiences to foster understanding and alignment.
- Collaboration & Inclusion: Work effectively on diverse teams and build strong relationships.
- Critical Thinking & Problem Solving: Analyze complex situations and develop innovative solutions.
- Curiosity: Understand how technology supports healthcare operations and outcomes. Ability to connect technical work to broader business goals.
- Strength-Based Leadership: Recognize and leverage personal and team strengths to drive results.
- Growth Mindset: Take ownership of personal and professional growth through continuous learning and proactive career exploration.
- Technology Fluency & Ethical Use: Apply emerging and foundational technologies responsibly to enhance efficiency, solve problems, and deliver value.
- Academic Achievement: A cumulative GPA of 3.3 or higher is preferred.
- Location: This is a Hybrid position out of Bloomfield, CT; Morris Plains, NJ; St. Louis, MO or Bloomington, MN. A Hybrid position means that you will be expected to work in-person for at least 3 days (Tuesday, Wednesday & a 3rd day of choice) at your assigned office location, with flexibility to work at home for a balance of time.
- Schedule: You must be available to work a 40-hour work week beginning July 13, 2026. Working hours are Monday – Friday.
- Work Authorization: This position is open only to individuals who are eligible for employment in the United States and who would not require visa support including H-1B or CPT/OPT/STEM, etc., now or in the future.
- Timeline: Our recruitment process includes a recruiter phone screen followed by up to two interview rounds. Final interviews will be held in person, with travel to one of our offices as needed. The application window is expected to close by mid-October 2025 or once all roles are filled.
- Compensation: For this position, we anticipate offering a base salary of $86,000 for bachelor’s degree candidates and $100,000 for master’s degree candidates along with a competitive benefit package.