Technology Development Program (TECDP) - Data & Analytics Engineering Track

Our Technology Development Program (TECDP) empowers early‑career technologists to build meaningful skills while transforming how millions experience healthcare. TECDP is a two‑year program designed to build technical expertise and a holistic understanding of how technology fuels transformation across the healthcare industry. Associates join a technical track aligned to their interests and career goals, gaining hands‑on experience, expanding their technical acumen, and collaborating across disciplines to solve real‑world challenges in healthcare. The Data & Analytics Engineering Track is designed for individuals passionate about building scalable data solutions, enabling analytics, and turning data into insights that drive better healthcare outcomes. What you’ll do Meaningful Work: Contribute to the Data & Analytics Engineering track by helping design, build, and optimize data pipelines, platforms, and analytical tools. You’ll gain hands-on experience turning raw data into insights that support data-driven decisions across The Cigna Group. Learn by Collaborating: Work closely with peers, mentors, and cross-functional partners through team initiatives and community activities. You’ll learn through collaboration while supporting innovation, recruiting efforts, onboarding, and community engagement. Structured Learning: Participate in core and track-specific curriculum, including technical training, leadership development, and business exposure to support your growth as a well-rounded technologist. Community & Connection : Develop meaningful relationships through networking, mentorship, and cross-functional collaboration that support both your personal and professional growth.

Candidates must have participated in and completed a Cigna Group internship prior to applying for this position.

Must have completed a bachelor’s or master’s degree in Data Science, Computer Science, Information Technology, or a related field at the time of hire. Technical Skills: Understanding of data modeling, ETL (Extract, Transform, Load) processes, and data warehousing concepts Proficiency in programming languages such as Python, Java, or Scala Experience with SQL for database querying and management Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) Exposure to big data technologies (Hadoop, Spark) or cloud platforms (AWS, Azure, Google Cloud) is a plus Awareness of data governance, data quality, and data integrity principles Courses & Experiences: Academic coursework, internships, or projects focused on data engineering, analytics, or large‑scale data systems. Well Rounded: Leadership or involvement in clubs, organizations, hackathons, technical competitions, or research projects. Desired Skills & Competencies Clear Communication: Effectively share ideas with technical and non‑technical audiences. Collaboration & Inclusion: Build strong relationships and work well on diverse teams. Critical Thinking: Analyze complex problems and create innovative solutions. Curiosity: Understand how technology supports healthcare and connects to business goals. Strength-Based Leadership: Leverage personal and team strengths to drive results. Growth Mindset: Pursue continuous learning and career development. Technology Fluency & Ethics: Use foundational and emerging technologies responsibly to deliver value. Academic Achievement: Preferred cumulative GPA of 3.3 or higher.

Location: This position is based in one of the following office locations: Bloomfield, CT | Morris Plains, NJ | St. Louis, MO. The role requires a hybrid work schedule, with a minimum of three days per week working onsite (Tuesday, Wednesday, and one additional day of the employee’s choice), and the option to work the remaining days remotely. Relocation assistance is not offered, and employees must be able to meet the onsite schedule for their assigned office location. Schedule: Full-time, 40 hours/week, Monday–Friday