Summer Intern 2027 - Data Engineering

Manulife•Boston, MA

4d•Hybrid

About The Position

At Manulife John Hancock, we believe in investing in the future – starting with you. Our Technology Internship Program is your launchpad to success, offering the support, structure, and exciting opportunities you need to thrive and make your mark. Our internship program offers more than just experience; you'll join a vibrant community, participate in engaging events, and benefit from personalized mentorship. As a Data Engineer Intern, you’ll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You’ll work with modern data tools and platforms to design, build, and optimize scalable data pipelines and workflows, helping transform raw data into meaningful, actionable information. Join a supportive team and experience a values-first culture where your career development and well-being are prioritized alongside your job impact. We offer multiple roles within this program, providing support from our diverse, passionate, and talented technology teams. You’ll receive guidance from experienced engineers while gaining exposure to data architecture, data processing, and analytics workflows in an enterprise environment. We are currently looking for a highly motivated student to join us in our Boston, Massachusetts, USA office for a summer internship, running from June 1st – August 12th 2027. This is a hybrid position, where you are expected to be in the office Tuesday-Thursday, with the opportunity to work remotely on Mondays and Fridays.

Requirements

Currently pursuing an undergraduate degree in Computer Science, Engineering, or a related field
Experience with SQL and at least one programming language (e.g., Python, Java)
Interest in data engineering concepts, including data pipelines and data processing
Familiarity with version control systems (e.g., Git, Bitbucket)
Strong communication skills and willingness to learn in a collaborative environment

Nice To Haves

Exposure to data tools (e.g., Spark, Databricks, or similar technologies)
Basic understanding of ETL processes, data modeling, or data warehousing
Familiarity with cloud environments (e.g., AWS, Azure, or Google Cloud)
Understanding of large-scale data processing concepts

Responsibilities

Contribute to a team of data engineers focused on building reliable, scalable data systems
Support the development and maintenance of data pipelines and workflows
Assist with data ingestion, transformation, and preparation for reporting and analytics use cases
Collaborate with engineering and business teams to understand data requirements and support solutions