Technology Development Program - TECDP - Data & Analytics Engineering Track - Start Date: July 12 - 2027

## Technology Development Program (TECDP) – Data & Analytics Engineering Track – Full-Time Associate Our Technology Development Program (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. This role is designed to support your transition from academia to industry. The program is ideal for recent graduates and early‑career professionals who are curious, motivated, and eager to apply their academic knowledge in a real-world setting. 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. ## Qualifications - Education: 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.