Spring 2027 Investment Data Engineer Co-op (January - June)

Location: Boston

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters – to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.

Investment Data Engineer Co-op

MFS is a global investment management firm focused on creating long-term value responsibly by doing what’s right for our clients every day. Our rich history dates to 1924, when our founders invented the mutual fund.  Since then, collaboration and innovation have fueled our success. Our unwavering commitment to finding the best, most durable investment opportunities is what sets us apart – and our success is grounded in our unique approach, disciplined philosophy and collaborative culture.

THE ROLE

Joining our team provides opportunities to share your voice and talents, tackle challenging problems, create solutions and collaborate with dedicated co-workers. This co-op experience provides participants with a meaningful, relevant work experience as part of their academic studies. In addition to daily responsibilities, participants will have the opportunity to participate in a series of structured activities designed to enhance their learning experience including:

Co-op New Hire Orientation

Senior Leadership Speaker Series

Social & Networking Events

Presentation Challenges

At the conclusion of this position, co-ops will have increased their knowledge of investing, the mutual fund industry, employee engagement, and a firm understanding of how information technology works at an asset manager.

MFS co-op positions are a 6-month commitment, working Monday – Friday (beginning on Wednesday, January 13th through Friday June 25th, 2027), and work between 35-40 hours.  Our program is designed for undergraduate students who are currently enrolled in a co-op program through their college or university and can meet our requirements.

Basic Purpose

As part of the Investment Data Management Office, the Data Engineer Co-op will contribute to a long-term strategic initiative to unify and harmonize investment data. This initiative supports enhanced investment decision-making, risk management, and client reporting for our multi-asset platform by delivering consistent, timely, accurate, and user-friendly data to investors, risk teams, and clients.

This six-month co-op assignment provides a unique opportunity to gain hands-on experience in modern data engineering practices while working in an agile, collaborative, and team-based environment. You will work closely with technology peers across MFS, investment professionals, and key vendor partners to help shape the future of investment data at MFS.

PRINCIPAL RESPONSIBILITIES:

Develop scalable data pipelines to ingest and process investment data records.

Assist in the development and implementation of data pipelines sourced from internal and external investment data sources.

Participate in coding and development activities to deliver solutions that meet business requirements and strategic objectives.

Learn and contribute to the continuous improvement of data quality, resiliency, control, efficiency, and monitoring processes.

Collaborate with other Engineers to develop and deploy new data products to the investment data platform.

Support the integration and enhancement of data ingestion, data delivery tools, transformation tools, and orchestration tools with the unified data platform.

Provide assistance during unexpected outages and help maintain system reliability.

JOB REQUIREMENTS:

Currently pursuing a Bachelor’s degree in Computer Science, Data Science, or a related field (junior or senior year preferred).

Coursework or project experience in data engineering, data integration, or data analytics.

Familiarity with programming languages such as Python, SQL, or similar.

Interest in financial services and a willingness to learn about financial instruments and data.

Strong problem-solving skills and the ability to work collaboratively in a team environment.

Exposure to Agile methodologies (e.g., Scrum, Kanban) is a plus but not required.

Familiarity with modern data tools such as Snowflake, Redshift, or BigQuery is a plus but not required.

WHAT YOU’LL GAIN:

Mentorship from experienced professionals in data engineering and financial services.

Hands-on experience with cutting-edge modern data engineering tools and techniques

Opportunities to work on impactful projects that contribute to investment decision-making and client reporting.

A strong foundation for a career in data engineering or financial technology.

Hourly Pay Rate: $21.00-$25.00

If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email [email protected] for assistance.

MFS is an Affirmative Action and Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.

#LI-HYBRID

MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting.

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