Data & Analytics Engineering

Cigna

Confirmed live yesterday Trusted

Hybrid

Quick summary

Work type: Hybrid
Location: Bloomfield, CTMorris Plains, NJSt. Louis, MO
Employment: Full-time
Posted: 50 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $174k

$117k $231k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $127,753–$219,650.

Based on 240 similar postings.

Employer

About Cigna

The Cigna Group is a global health company, rebranded in 2023, that serves over 185 million customer relationships across 30+ countries.

Cigna currently has 87 open roles on FindRole.

Listed pay typically runs $143,166–$205,800 across 30 roles with salary data.

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At a glance

TL;DR · Data & Analytics Engineering

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JOB TITLE: Technology Development Program (TECDP) - Data & Analytics Engineering Track - Start Date: July 12, 2027 The Technology Development Program (TECDP) - Data & Analytics Engineering Track - Start Date: July 12, 2027 is a two-year full-time associate program designed to build technical expertise in the healthcare industry. Associates will join the Data & Analytics Engineering track to design, build, and optimize data pipelines, platforms, and analytical tools. The role involves turning raw data into insights to support data-driven decisions across the organization. Key responsibilities include collaborating with mentors and cross-functional partners while participating in a structured curriculum of technical training and leadership development. Candidates must demonstrate proficiency in Python, Java, or Scala, along with SQL, ETL processes, and data warehousing. Experience with NoSQL databases like MongoDB, Hadoop, Spark, or cloud platforms like AWS, Azure, and Google Cloud is also valued.

Skills

Python Java Scala SQL ETL Data Modeling Data Warehousing NoSQL MongoDB Cassandra Hadoop Spark AWS Azure Google Cloud Data Governance Data Quality

What you'll do

Design, build, and optimize data pipelines, platforms, and analytical tools.
Transform raw data into actionable insights to support data-driven decisions.
Execute ETL processes and manage data warehousing concepts.
Query and manage databases using SQL and other programming languages like Python.
Support innovation, recruiting efforts, and onboarding initiatives.
Participate in technical training and leadership development curriculum.
Maintain data governance, quality, and integrity principles.

What we're looking for

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.
Must have an understanding of data modeling, ETL processes, and data warehousing concepts.
Must be proficient in programming languages such as Python, Java, or Scala.
Must have experience with SQL for database querying and management.
Must have awareness of data governance, data quality, and data integrity principles.
Exposure to big data technologies (Hadoop, Spark) or cloud platforms (AWS, Azure, Google Cloud) is a plus (preferred).
Preferred cumulative GPA of 3.3 or higher (preferred).
Work Authorization.

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