Data & Analytics Engineering Intern

The Cigna Group

. Work within the Data & Analytics Engineering track .

Posted 10/30/2026part-timeUnited StatesEntry Level💰 $25 - $33 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, with strong skills in data modeling, ETL processes, and data warehousing. Proficient in programming languages such as Python, Java, or Scala, and familiar with data visualization tools like Tableau and Power BI.

Highest-signal resume keywords

Data ModelingETL ProcessesData WarehousingPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData AnalyticsData VisualizationData GovernanceData QualityPythonJavaScalaSQLNoSQL

Soft Skills

Analytical SkillsProblem-SolvingCommunicationProactive LearningCollaboration

Tools & Technologies

TableauPower BIHadoopSparkAWSGoogle CloudAzureMongoDBCassandra

Industry Keywords

Data & Analytics EngineeringData PipelinesActionable InsightsCommunity BuildingCross-Functional Collaboration

Tech Stack

Tools & technologies

AWSAzureCassandraCloudETLHadoopJavaMongoDBNoSQLPythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Work within the Data & Analytics Engineering track
Contribute to the design, development, and optimization of data pipelines, platforms, and analytical tools
Transform raw data into actionable insights
Develop skills in data architecture, engineering, and visualization
Support data-informed decision-making across The Cigna Group
Engage with peers, mentors, and cross-functional partners through community-building activities and collaborative initiatives
Support recruiting efforts, drive innovation, promote community, or enhance onboarding experiences
Participate in structured core and track-specific curriculum
Build relationships through networking, mentorship, cross-functional collaboration, and peer engagement

Requirements

What you’ll need

Currently pursuing a degree in Data Science, Computer Science, Information Technology, or a related field, with an emphasis on data engineering and analytics
Strong understanding of data modeling, ETL processes, and data warehousing concepts
Proficiency in Python, Java, or Scala
Experience with SQL and familiarity with NoSQL databases such as MongoDB or Cassandra
Basic knowledge of Tableau, Power BI, or similar data visualization platforms
Familiarity with Hadoop, Spark, AWS, Google Cloud, or Azure is a plus
Strong analytical and problem-solving skills
Good understanding of data governance and data quality concepts
Excellent verbal and written communication skills
Proactive attitude toward learning and enthusiasm for current data analytics engineering trends and technologies
GPA of 3.3 or higher is preferred
Must be available to work 40 hours per week beginning May 24, 2027, Monday–Friday
Must be eligible for employment in the United States without current or future visa sponsorship, including H-1B, CPT/OPT/STEM
Must complete mandatory pre-employment tasks approximately 45 days before the program start date
Must be available within the United States during the pre-employment drug-test timeframe
Home internet, if working remotely, must use cable broadband or fiber optic service with at least 10 Mbps download and 5 Mbps upload

Benefits

Comp & perks

Hybrid work schedule with the option to work remaining days remotely
Comprehensive training
Mentorship
Structured core and track-specific curriculum
Technical training and leadership development
Networking events and community-building activities
Cross-functional collaboration and peer engagement