Job description

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 at Guardian. For 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, PA New York, NY Holmdel, NJ You 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 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 Preferred Qualifications: Familiarity with cloud platforms, distributed data processing, or modern data engineering technologies is a plus (AWS, Databricks, Spark, Snowflake, etc.) 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 secure and compliant way Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent Colleague Engagement Communities that create inclusive spaces where you can feel valued and connected Social responsibility in all aspects of our work- we volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability Eligibility: Applicants must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization. F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or current H-1B visa holders will not be considered. H1-B and green card sponsorship are not available for this position. You must be available for the full program dates of the internship program. If you have any questions regarding the application process, please feel free to email Guardian_Campus glic.com . Salary Range: $20.00 - $35.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits . Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual s known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR glic.com . Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. Visa Sponsorship Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future. Notice Regarding Guardian’s Use of Artificial Intelligence in Recruitment As part of Guardian’s job application process, Guardian may use artificial intelligence tools (“AI Tools ) to automate the sorting and filtering of information provided by applicants as part of its preliminary screening. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian’s jobs website (Careers at Guardian at guardianlife.com ). At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues. Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian’s use of AI Tools during the job application process. If you would like to request an alternative process that does not utilize AI Tools or would like to request a reasonable accommodation, within ten business days of your position application, you must email your request to MyHR glic.com , making sure to provide your name and job requisition identification number. Guardian will retain your applicant materials and resume and all information therefrom in accordance with Guardian’s document retention policy, a copy of which you may request via MyHR glic.com . Additionally, at applicable times, Guardian will make public the most recent bias audit results for such AI tools, which may be found here . Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Requirements

Must-haves

2027 Guardian Summer Intern, Digital & Technology – Data Engineering
For all roles, teams are assigned mid-spring. Doing so offers the ability to assign program participants to real-time, business-critical needs.
The internship program will run from Thursday, May 27, 2027- Friday, August 6, 2027 .
Bethlehem, PA
New York, NY
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
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
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
Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way

Nice-to-haves

Familiarity with cloud platforms, distributed data processing, or modern data engineering technologies is a plus (AWS, Databricks, Spark, Snowflake, etc.)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlaimlawsmachine learning

Platform: workday
Effort: long