Software Engineering Sr. Engineer

MFS Investment Management • Boston, MA

4d • $98,500 - $141,500 • Hybrid

About The Position

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. THE ROLE In conjunction with the Investment Data Management Office, the Senior Data Engineer contributes to a long-term strategic initiative to unify and harmonize our investment data. This initiative enables 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. Are you a hands-on and detailed-oriented individual working on the cutting edge of financial instruments, investment data, and analytics? Are you interested in investment data strategies across a wide variety of traditional and alternative asset classes? Are you a thinker who enjoys devising innovative and flexible business solutions to meet emerging business needs? The MFS Investment Data Management Office is actively searching for a Senior Data Engineer to implement data engineering and analytics solutions. Primary responsibilities include full implementation and maintenance of data ingestion, data maintenance, data validation and data delivery of investment data. We are looking for someone who thrives in an agile, collaborative, team-based environment, working closely with technology peers across MFS, investment professionals and key vendor partners. This position offers the opportunity to shape the future of investment data at MFS.

Requirements

• Bachelor’s degree in Computer Science or related disciplines.
• Minimum of 5 years of experience in design, development and building data oriented complex applications.
• Minimum of 2-4 years of hands-on progressive experience from SQL to Advanced SQL.
• Experience working in data integration (ETL/ELT), data warehouse, data analytics architecture and sound understanding of design principles.
• Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS
• Deep understanding of Agile SDLC, DevOps and Cloud technologies required, in addition to exposure to multiple, diverse technologies, platforms, and processing environments.
• Knowledge about various architectures, patterns such as unified data management architecture (UDM), data mesh architecture, event-driven architecture, real-time data flows, non-relational repositories, data virtualization, etc.
• Good interpersonal and communication skills with the ability to lead cross-team collaboration and partnerships across a variety of internal and external constituencies.

Nice To Haves

• Knowledge of and experience with Snowflake and other cloud native databases is highly preferred.
• Experience with building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions, is desired.

Responsibilities

• Design, develop, and implement data pipelines to maintain unified data platform for the Investment Data Management Office (IDMO)
• Create and maintain detailed technical design and architecture documentation to support development, implementation, and ongoing enhancement of data engineering solutions
• Develop and execute comprehensive unit tests, ensuring thorough test coverage and clear documentation of test cases and results
• Lead and participate in all development activities, develop and implement solutions to meet business requirements that align with program strategic objectives
• Responsible for new and on-going development of data pipelines sourcing from internal and external sources
• Drive continuous improvement of data quality, resiliency, control, efficiency, and monitoring
• Troubleshooting complex system interactions to find the root cause to problems
• Partner with platform lead to design, develop, implement and deploy new software components to investment data platform
• Partner with data architect to evaluate and finalize the unified data model
• Partner with integration architect to upgrade and integrate data ingestion and data delivery tools with the unified data platform
• Upgrade and integrate transformation tool, data validation tool and orchestration tools with the unified data platform to implement data engineering, analytical engineering and data maintenance capabilities.
• Provide support during unexpected outages

Benefits

• MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company -sponsored 401(k)
• Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider
• Education Assistance: Tuition reimbursement up to $8,000 annually
• Education Assistance: Access to discounted tutors and college coaches
• Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves
• Choice of medical and dental plans and an and an employer contribution into the Health Savings Account
• Tax deferred commuter benefits & flexible spending accounts (medical & dependent care)
• Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps

What This Job Offers

• Job Type: Full-time
• Career Level: Senior