Summer Product Engineering Intern — AI & Cloud

Health Care Service Corp.

Chicago (IL)

On-site

USD 24,000 - 39,000

Part time

6 days ago
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Job summary

Health Care Service Corporation (HCSC) invites motivated students for a five-week paid internship in Chicago, IL or Richardson, TX. You will support data research and participate in a defined summer project with milestones and mentor feedback.

The program emphasizes learning, professional development, and networking through workshops and orientation activities. A strong interest in AI, cloud tech, and data analytics is encouraged.

Qualifications

  • Preferred: Background in AI, Python, Cloud Engineering, AWS, Java, JavaScript, or SQL.
  • Preferred: Knowledge of Databricks, Salesforce, Microservices, or Mulesoft.
  • Preferred: Interest in Cloud Native Computing, Site Reliability Engineering, Mule, eGateway, or Prompt Engineering.
  • Preferred: Experience in Data Analytics.
  • Preferred: Exposure to Hadoop, Pig, Talend, or similar tools.

Responsibilities

  • Support day-to-day team activities and contribute to research, data gathering, and light analysis under close mentor guidance.
  • Contribute to a defined summer project with structured milestones, regular mentor check-ins, and manager feedback.
  • Attend intern orientation, professional development workshops, and networking events designed for early-career exploration.
  • Comply with HIPAA, Diversity Principles, Corporate Integrity, and other applicable corporate and departmental policies.

Skills

AI
Python
Cloud engineering
AWS
Java
JavaScript
SQL
Databricks
Salesforce
Microservices
MuleSoft
Cloud native computing
Site reliability engineering
Mule
eGateway
Prompt engineering
Data analytics
Hadoop
Pig
Talend

Education

Pursuing bachelor's degree in CS/IT/IS

Job description

Health Care Service Corporation (HCSC) invites motivated students for a five-week paid internship in Chicago, IL or Richardson, TX. You will support data research and participate in a defined summer project with milestones and mentor feedback.

The program emphasizes learning, professional development, and networking through workshops and orientation activities. A strong interest in AI, cloud tech, and data analytics is encouraged.

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