MFS

DBT Investment Lead Data Engineer

Boston · Full-time

No sponsorship$110k-$159kDetected 16 hours ago

SQLSnowflakeAWSGCPAzureDevOpsdbtData AnalysisData EngineeringCommunicationCollaboration

About the role

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?

Develop and maintain data models in dbt (Data Build Tool) within Snowflake, implementing business logic and ensuring alignment with existing architecture and data standards.
Manage and contribute to dbt projects, ensuring code quality, proper documentation, and alignment with modular, scalable design patterns.
Design, build, and administer scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.
Lead and participate in all development activities, develop and implement solutions to meet business requirements that align with program strategic objectives
Drive continuous improvement of data quality, resiliency, control, efficiency, and monitoring
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

Bachelor's degree in Computer Science or related disciplines.
5-6+ 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.
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.
Experience with building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions, is desired.

Experience working within the asset management industry and investment data domain, with exposure to multi-asset investment platforms and related data ecosystems.
Understanding of asset management concepts and knowledge of various financial instruments and products, including traditional and alternative asset classes.
Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing technologies, or financial markets/investment operations are highly valued.
Demonstrated interest in emerging AI technologies and an understanding of how AI-driven tools can improve day-to-day engineering processes, data quality, operational efficiency, and analytics workflows.
Familiarity with leveraging AI-assisted development, automation, or data engineering best practices to enhance productivity and continuous improvement initiatives is a plus.
Applicants must be currently authorized to work in the United States on a full-time basis.
This position is not eligible for sponsorship.
Knowledge of and experience with Snowflake and other cloud native databases is highly preferred.

MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company -sponsored 401(k)
$110,000.00 - $158,500.00This position is eligible for competitive incentive bonus.
At MFS, we believe in fair and transparent compensation.
For that reason, we're including the salary range for this position.
This range reflects our good-faith expectation for what we'll pay depending on the candidate's experience, training and education.
In addition to the salary, we also offer significant and competitive incentive compensation based on both individual and company performance.

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)
Our compensation philosophy is to pay competitively for talent while ensuring equity across employees performing comparable work.
We are committed to transparency - if you have questions about how we arrived at this range or what additional benefits and bonus opportunities come with the role, we'll be happy to discuss them
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 talent_acquisition@mfs.com for assistance.

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.

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.

Applicants must be currently authorized to work in the United States on a full-time basis.

This listing is sourced directly from MFS's careers page and normalized into a canonical job model.