Data Engineer Intern — Hybrid Summer in Boston

Manulife Insurance Malaysia; Boston (MA); Hybrid; USD 53,000 - 70,000; Full time

Job summary

Manulife John Hancock offers a Technology Internship Program in Boston, MA, with a Data Engineer Intern role. This hybrid position requires in-office presence Tue-Thu and remote work on Mon, Fri.

You will build and optimize scalable data pipelines, learn data architecture, and contribute to analytics workflows within an enterprise setting. The program runs summer 2027, with a mentorship-driven environment and opportunities to engage with data processing and cloud technologies.

Qualifications

• 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).
• Strong communication skills and willingness to learn in a collaborative environment.

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.

Skills

SQL

Programming languages (Python, Java)

Git

Communication

Education

Pursuing undergraduate degree in Computer Science, Engineering, or related field

Tools

Spark

Databricks

AWS

Azure

Google Cloud

Job description

Manulife John Hancock offers a Technology Internship Program in Boston, MA, with a Data Engineer Intern role. This hybrid position requires in-office presence Tue-Thu and remote work on Mon, Fri.

You will build and optimize scalable data pipelines, learn data architecture, and contribute to analytics workflows within an enterprise setting. The program runs summer 2027, with a mentorship-driven environment and opportunities to engage with data processing and cloud technologies.