2026 Technology, Data, AI & Ventures Summer Internship Program - Data Engineering Intern

Shape your future with a dynamic internship experience at New York Life. We offer opportunities across a variety of exciting businesses, including Actuarial, AI & Data, Finance, Investments, Technology, Underwriting, and more. Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, mentorship programs, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey. 

Program Overview: 

Launch Your Career in a Technology, Data, and AI–Driven Organization with Purpose and Impact!

Get ready for a summer that will inspire, challenge, and empower you in your career.  

Team: Data 

The Data team at New York Life encompasses various functions, including analytics engineering, data strategy and governance, platforms and integrations, and data ingestion and pipelines. This team plays a critical role in building scalable data solutions that support the company’s strategic objectives. 

Interns will take on an internship focusing on one of three key areas:  

Data Engineering & Infrastructure: Work on building scalable data pipelines, automating data processes, enhancing data quality frameworks, and supporting cloud infrastructure projects. Focus on AWS automation, data warehousing, workflow optimization, and operationalizing data tools to create efficient data processing and transformation systems. 

Data Strategy & Governance: Improve data management and governance using cutting-edge tools like ML, LLMs, NLP, and GPTs to refine data curation, enhance data quality, and drive efficiency across the organization's data ecosystem. 

Platform Integration & APIs: Enhance integration platforms by developing APIs, optimizing search utilities, streamlining DevOps processes, and building connections between various data systems and business applications. 

What You'll Bring: 

Data Engineering & Infrastructure: Deep interest in building scalable data solutions, process automation, cloud infrastructure, and creating robust data frameworks that support enterprise-wide analytics. 

Data Strategy & Governance: Interest in data management, governance practices, and applying cutting-edge AI/ML and NLP tools to solve complex data challenges. 

Platform Integration & APIs: Strong problem-solving skills with interest in system integrations, API development, semantic search capabilities, and connecting diverse technology platforms. 

Required Skills: 

Data Engineering & Infrastructure: Graduate student pursuing a master’s degree in Computer Science, Management Information Systems, or Software Engineering. Proficiency in Python, SQL, and understanding of data warehousing principles. Experience with AWS, dbt, DevOps tools (e.g., Jenkins, Terraform), Glue, PostgreSQL, and Informatica Data Management Cloud preferred. 

Data Strategy & Governance: Graduate student pursuing a master’s degree in Computer Science, Artificial Intelligence, or a related field. Proficiency in Python, Machine Learning, SQL, and NLP tools. Experience with data governance frameworks and AI/ML applications preferred. 

Platform Integration & APIs: Graduate student pursuing a master’s degree in Management Information Systems, Computer Science, or Software Engineering. Proficiency in Python, platform architecture, API development, and system integration patterns. Experience with search optimization and DevOps processes preferred. 

#AICampus

#LI-CV1