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Guardian Summer Intern, Digital & Technology – Data Engineering

Job in New York, New York County, New York, 10261, USA
Listing for: Guardian Life Insurance Company
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-09-18
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 20 - 35 USD Hourly USD 20.00 35.00 HOUR
Job Description & How to Apply Below
2027 Guardian Summer Intern, Digital & Technology – Data Engineering Our 2027 Summer Internship Program is a paid 10-week learning experience where you will be immersed in the daily environment of a thriving global financial services company. You will gain invaluable industry and organizational knowledge through daily business interactions and job assignments, in addition to engaging in projects that directly affect our business, interact with senior leaders in conversational settings, and network with employees and interns across our offices.

This 10-week internship provides you with realistic experiences and information of what it is like to work  all roles, teams are assigned mid-spring. Doing so offers the ability to assign program participants to real-time, business-critical needs.

Internship Dates:

The internship program will run from Thursday, May 27, 2027
- Friday, August 6, 2027.We review applications on a rolling basis, and we encourage you to apply as soon as you are ready. The application window will close on Friday, November 13th, 2026, at 11:59PM ET or when role(s) have been filled, whichever comes first.

You are:

A current junior (graduation date of December 2027 or May 2028) or current sophomore (graduation date of December 2028 or May 2029) who is fueled by collaboration, able to listen and make quick decisions and thrive in a goal-oriented environment.

Location (Housing is not provided):

Bethlehem, PANew York, NYHolmdel, NJYou have:

Required Qualifications:

A self-starter mentality – someone who enjoys “rolling up their sleeves and getting things done”, has high energy, strong work ethic, displays the ability to work independently, and is creative

Exposure to programming using Python and SQL Understanding of databases, data structures, and data processing concepts

Familiarity with cloud platforms, distributed data processing, or modern data engineering technologies is a plus (AWS, Databricks, Spark, Snowflake, etc.)Interest in data engineering, analytics engineering, AI/ML, or large-scale data platforms

Strong analytical, problem-solving, collaboration, and communication skills

Enthusiasm, curiosity, and a strong willingness to learn, adapt, and thrive in a dynamic, fast-paced environment

You will:

Design, develop, and maintain data pipelines that ingest, transform, and deliver trusted data across enterprise platforms

Work with structured and semi-structured data sources to build scalable data products that support reporting, analytics, machine learning, and business applications

Learn and apply modern cloud-based data engineering technologies, including Databricks, AWS, Python, SQL, and data orchestration tools

Participate in data quality validation, monitoring, testing, and documentation activities to ensure reliable and trusted data assets

Collaborate with product owners, business analysts, architects, and engineers to translate business requirements into technical solutions

Explore how AI-assisted engineering, automation, and modern data platforms accelerate development, improve productivity, and enhance data-driven decision making

Develop your skills in data exploration, engineering, and analysis while learning to think critically and question

Have the opportunity to work and learn from supportive leaders, mentors, and team members across the organization who will help coach you as you develop your professional career

Learn about Guardian’s purpose, values, how we work, and our suite of product and service offerings

Build a network of colleagues and have a sense of community with other interns and other parts of the business

Think broadly and ask questions about data, facts, and other information

We offer:

Meaningful and challenging work opportunities to accelerate innovation in a…
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