The Software Engineer Intern will support the design, development, and maintenance of scalable software solutions that enable enterprise data processing, system integrations, reporting capabilities, and emerging intelligent automation features. This role contributes to the implementation of ETL workflows, API-based integrations, file-based data exchanges, and backend services supporting business-critical applications. The intern may also assist in integrating AI-powered services into data workflows and APIs under the guidance of senior engineers.

In this role, the intern will gain hands-on experience working in a production environment and contributing to real-world integration solutions. This opportunity offers meaningful exposure to Java, Python, SQL, REST API development, AWS cloud technologies, and AI-assisted development practices while collaborating with experienced engineers in an Agile delivery environment.

This 10-week internship (June 1 - August 14, 2026) will work thirty (30) hours per week to provide practical experience with modern software engineering practices within a fast-paced, team-oriented setting.

What You Will Gain

• Hands-on experience with enterprise-scale ETL and data integration workflows
• Exposure to REST API design, configuration, and documentation best practices
• Practical experience with Java, Python, SQL, and AWS cloud services
• Understanding of secure data exchange and production deployment processes
• Exposure to integrating AI-powered APIs into enterprise data processing and system integration workflows
• Experience working in an Agile, team-based development environment
• Insight into delivering scalable, client-facing technical solutions

Key Responsibilities

• Assist in the design, development, and maintenance of ETL pipelines and file-based data integration processes (imports/exports).
• Support the configuration, testing, and documentation of RESTful APIs for internal and external system integrations.
• Perform data mapping, transformation, and validation between source and target systems.
• Contribute to API endpoint configuration, request/response handling, and schema validation.
• Participate in debugging, testing, and troubleshooting integration and data workflow issues.
• Write and optimize SQL queries to support data extraction, reporting, and validation activities.
• Support reporting, data extracts, and data warehousing initiatives.
• Leverage AI-assisted development tools responsibly to improve productivity while adhering to coding standards, documentation practices, and secure data handling procedures.
• Collaborate with cross-functional engineering and product teams in an Agile development environment.

Education Required: 

• Currently working toward a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or other relevant technical discipline.

Qualifications Required:

• Foundational programming knowledge in Java or Python.
• Basic understanding of relational databases and SQL.
• Familiarity with REST APIs and web service concepts.
• Strong analytical and problem-solving skills.
• Effective communication and collaboration abilities.
• Ability to collaborate in our Tampa office on a hybrid schedule (Tuesday, Wednesday, Thursday).

Qualifications Preferred:

• Basic exposure to ETL concepts or data transformation workflows.
• Some experience writing SQL queries and working with relational databases (e.g., MySQL, Oracle)
• Familiarity with JSON, XML, or similar structured data formats.
• Coursework or project experience involving APIs, integrations, or cloud platforms.
• Introductory exposure to artificial intelligence, machine learning, or generative AI concepts through coursework or projects.
• Familiarity with LLM-based APIs (e.g., Anthropic, Claude Code, OpenAI, AWS Bedrock, or similar generative AI services) is a plus.
• Introductory exposure to AWS services.

At MHK we help health plans and pharmacy benefit managers deliver optimal care management across every member’s health journey. We do this through state-of-the-art technology that provides critical insights from member enrollment and maintenance through every stage of care and compliance. We believe that long-term partnerships are built on trust. Our team members are expected to build trusted advisory relationships—with MHK clients and one another—through responsive, transparent communication, while honoring commitments, and tying that trust to outcomes.

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