Hybrid Lead Data QA Engineer - Investment Data Quality

MFS Investment Management; Boston (MA); Hybrid; USD 88,000 - 126,000; Full time

Benefits offered by this job

Retirement match

Education assistance

Tuition reimbursement

Parental leave

Wellness program

Job summary

Join MFS Investment Management as a Lead Data QA Engineer, partnering with Enterprise Data Management to unify and harmonize investment data across the enterprise. You will design automated testing frameworks, implement data quality controls, and drive QA practices across assets and data products.

You will mentor engineers, work with data engineers, product owners, and external data providers in an Agile environment, and contribute to resilient, scalable data platforms for investment

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related discipline.
• 5+ years of experience in data quality engineering, data testing, QA automation, data engineering, or related roles.
• Strong experience designing and building automated testing frameworks for large-scale data platforms, data pipelines, and data transformations.
• Advanced SQL skills and demonstrated ability to validate complex datasets, transformations, reconciliation rules, and business logic.

Responsibilities

• Lead the design, development, and implementation of automated data testing and validation frameworks to ensure data quality across the unified data platform.
• Define and drive the overall Data QA strategy, including test planning, automation, regression testing, integration testing, reconciliation, and production data validation.
• Develop reusable, scalable automated testing capabilities for data pipelines, transformations, business rules, APIs, databases, and data products.
• Establish comprehensive test coverage across data sourced from internal systems, external vendors, and third-party providers.
• Validate complex investment data, including financial instruments, security master/reference data, transactions, positions, pricing, and related datasets.
• Develop automated controls for data completeness, accuracy, consistency, timeliness, uniqueness, integrity, and reconciliation.
• Partner with data engineers and business stakeholders to translate business and data requirements into test scenarios, acceptance criteria, and automated test cases.
• Lead testing throughout the SDLC, including functional, integration, regression, end-to-end, performance, and production validation.
• Integrate automated data quality testing into CI/CD pipelines to enable early detection of defects and support reliable software and data releases.
• Implement monitoring, alerting, data observability, and quality metrics to proactively identify data issues and emerging quality trends.
• Lead root-cause analysis of complex data defects and pipeline failures, working with engineering and business teams through resolution.
• Define Data QA standards, best practices, controls, and quality metrics while mentoring engineers and promoting a strong quality engineering culture.
• Drive continuous improvement in data quality, test automation, platform resiliency, operational controls, and engineering efficiency.
• Provide technical leadership during production incidents and support resolution of critical data quality issues and unexpected outages.

Skills

Python

SQL

Data quality testing

CI/CD

Education

Bachelor's degree

Tools

Snowflake

Jenkins

Job description

Join MFS Investment Management as a Lead Data QA Engineer, partnering with Enterprise Data Management to unify and harmonize investment data across the enterprise. You will design automated testing frameworks, implement data quality controls, and drive QA practices across assets and data products.

You will mentor engineers, work with data engineers, product owners, and external data providers in an Agile environment, and contribute to resilient, scalable data platforms for investment