Tech & Data Program Summer 2027 - Data Engineer Intern (Data Engineering)

Location: Hybrid in Chicago, Illinois; candidates must be authorized to work in the United States without company sponsorship now or in the future.

Company

hirify.global is an insurance company investing in technology, data, AI, analytics, and operations to improve business decision-making and customer experience.

What you will do

• Build and support data pipelines that ingest, transform, and prepare data for business and analytical use.
• Work with structured and unstructured data for analytics, reporting, and AI-driven solutions.
• Apply Python, SQL, ETL processes, and cloud technologies to develop reliable data assets.
• Ensure data quality, consistency, and performance through profiling, validation, and monitoring.
• Collaborate with cross-functional teams to deliver scalable data solutions.
• Use AI tools such as Copilot to support data solution development and productivity.

Requirements

• Undergraduate or graduate student graduating in May 2028 with a Bachelor's or Master's degree and a GPA of 3.0 or higher.
• Degree studies in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field.
• Strong analytical, problem-solving, critical-thinking, communication, collaboration, and interpersonal skills.
• Knowledge or exposure to Python, SQL, PL/SQL, ETL/ELT, data transformation, data profiling, data quality, and data modeling.
• Exposure to Snowflake, GitHub, relational databases, data warehouse concepts, and AWS, Azure, or Google Cloud.
• US work authorization without current or future company sponsorship is required.

Nice to have

• Experience with Tableau, dashboards, reporting, data mining, or business intelligence tools.
• Familiarity with AI/ML concepts, generative AI tools, LLMs, NLP, or AI-focused data foundations.
• Exposure to Agile teams, sprint delivery, or collaborative product-based work.

Culture & Benefits

• Inclusive and collaborative environment focused on integrity, innovation, and customer needs.
• Mentorship, coaching, feedback, and self-directed learning opportunities.
• Networking, volunteerism, and employee engagement opportunities with peers and leaders.
• High-performing interns may be considered for future full-time roles in the Technology & Data organization.