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

Cigna; Bloomfield (CT); Hybrid; USD 86,000 - 100,000; Full time

Job summary

The Cigna Group offers a Technology Development Program (TECDP) Data & Analytics Engineering Track for recent graduates and early‑career professionals. You will design, build, and optimize data pipelines, gaining hands‑on experience turning data into insights that influence healthcare outcomes.

Participants collaborate with mentors, complete core and track curricula, and develop leadership and technical skills to support growth as a well‑rounded technologist.

Qualifications

• Bachelor's or master's degree completed by hire.
• Experience with data pipelines, ETL and data warehousing.
• Proficiency in Python, Java or Scala and SQL.
• Familiar with NoSQL databases such as MongoDB or Cassandra.
• Exposure to big data tech (Hadoop/Spark) or cloud platforms (AWS/Azure/GC).

Responsibilities

• Design, build, and optimize data pipelines, platforms, and analytics tools.
• Collaborate with peers, mentors, and cross‑functional partners.
• Engage in core and track curriculum for growth as a technologist.
• Develop relationships through networking and community activities.

Skills

Python

Java

Scala

SQL

ETL

Education

Bachelor's or Master's in Data Science/Computer Science/Information Technology

Tools

MongoDB

Cassandra

Hadoop

Spark

AWS

Azure

Google Cloud

Job description

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.

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.

Additional Information

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 starting July 12, 2027.

Work Authorization: One goal of this leadership development program is to prepare and identify qualified candidates for leadership roles with The Cigna Group upon program completion. Therefore, this position is open only to individuals who are eligible for employment in the United States and who do not now, or in the future, require visa sponsorship including, but not limited to, H-1B, CPT/OPT/STEM.

Timeline: Process includes a recruiter screen and up to two interviews. Application window closes by mid‑October 2026 or once filled.

Compensation: Expected base salary is $86,000 for bachelor's graduates and $100,000 for master's graduates, plus competitive benefits.

Pre‑Employment Requirements: Selected candidates will be required to complete mandatory pre‑employment tasks approximately 45 days prior to the program start date. Completion of the drug test requires availability wit