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About the Role
The Senior Investment Data Engineer will contribute to a strategic initiative to unify and harmonize investment data across the organization, supporting enhanced investment decision making, risk management, analytics, and client reporting for a multi-asset investment platform. This role involves developing, enhancing, and supporting investment data platforms and pipelines in collaboration with various teams.
Responsibilities
- Develop and maintain data models in dbt (Data Build Tool) within Snowflake, implementing business logic and adhering to established data standards and architectural principles.
- Contribute to dbt projects by building modular, scalable, and well-documented transformation pipelines.
- Design, develop, and support scalable data pipelines and data warehouse solutions for reporting, analytics, and operational use cases.
- Participate in development activities and support implementation of solutions aligned with business and program objectives.
- Assist in improving data quality, resiliency, controls, monitoring, and operational efficiency across the investment data platform.
- Troubleshoot data and system issues, identify root causes, and support resolution efforts.
- Partner with senior engineers, platform leads, architects, and business stakeholders to support delivery of investment data solutions.
- Support integration of data ingestion, transformation, orchestration, and validation tools within the unified data platform.
- Contribute to enhancement of data engineering and analytical engineering capabilities across the platform.
- Provide operational and production support, including assistance during unexpected outages or incidents.
Requirements
- Bachelor’s degree in Computer Science or related discipline.
- 3–5+ years of experience designing, developing, and supporting data-oriented applications and platforms.
- 2+ years of hands-on experience with SQL and advanced SQL concepts.
- Experience developing and maintaining data models using dbt (Data Build Tool).
- Experience working with data integration (ETL/ELT), data warehousing, and analytics architectures, with understanding of data engineering best practices and design principles.
- Development experience with cloud-based PaaS platforms such as Microsoft Azure, Google GCP, or Amazon AWS.
- Familiarity with Agile SDLC, DevOps practices, CI/CD processes, and cloud technologies.
- Strong analytical, problem-solving, interpersonal, and communication skills with the ability to collaborate effectively across teams.
- Applicants must be currently authorized to work in the United States on a full-time basis.
- This position is not eligible for sponsorship.
Skills
- SQL
- dbt (Data Build Tool)
- Snowflake
- Microsoft Azure
- Google GCP
- Amazon AWS
- Agile SDLC
- DevOps practices
- CI/CD processes
- cloud technologies
- unified data management
- data mesh
- event-driven architecture
- real-time data flows
- data virtualization
- financial services
- investment management
- investment data domains
- financial instruments
- investment data
- transactions
- positions
- multi-asset investment platforms
- Snowflake certifications
- dbt certifications
- cloud data engineering technologies
- AI technologies
- automation
- AI-assisted development tools
Location
- hybrid
Work Type
- hybrid
- full-time
Experience Level
- Senior
Education Level
- Bachelor’s degree in Computer Science or related discipline
Salary/Compensations
- $98,500.00 - $141,500.00
Benefits
- Competitive incentive bonus
- MFS contributes an amount equal to 15% of your base salary to your retirement account
- 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
- 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)
- Access to virtual personal training sessions
- Access to a wide variety of well-being apps
About the Company
- 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.
Equal Opportunity
- MFS is an 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. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.
- At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others.