Lead Data QA Engineer - Hybrid Data Quality Leader

001 Mass Financial Services; Boston (MA); On-site; USD 88,000 - 126,000; Full time

Benefits offered by this job

15% retirement contribution

Tuition reimbursement

Education assistance

Parental leave

Paid time off

Job summary

MFS is seeking a Lead Data QA Engineer to unify and harmonize investment data across our platform. You will design automated data testing, drive QA strategy, and collaborate with data engineers, product owners, and external providers in an Agile setting.

You will validate financial data, ensure data quality and governance, and contribute to production data validation and observability. This is a hands-on leadership role in Boston with visibility across teams.

Qualifications

• 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.
• Advanced SQL skills and demonstrated ability to validate complex datasets, transformations, reconciliation rules, and business logic.
• Strong programming and test automation experience using Python or comparable languages and frameworks.

Responsibilities

• Lead the design, development, and implementation of automated data testing and validation frameworks.
• 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, APIs, databases, and data products.
• Establish comprehensive test coverage across data from internal systems, external vendors, and third-party providers.
• Validate complex investment data, including securities, transactions, pricing, and reference data.
• Develop automated controls for data completeness, accuracy, consistency, timeliness, uniqueness, integrity, and reconciliation.
• Partner with data engineers and stakeholders to translate requirements into test cases.
• Lead testing across SDLC: functional, integration, regression, end-to-end, performance, production validation.
• Integrate automated data quality testing into CI/CD pipelines for early defect detection.

Skills

Data quality

SQL

Python

Test automation

Data pipelines

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science

Tools

Snowflake

CI/CD

Job description

MFS is seeking a Lead Data QA Engineer to unify and harmonize investment data across our platform. You will design automated data testing, drive QA strategy, and collaborate with data engineers, product owners, and external providers in an Agile setting.

You will validate financial data, ensure data quality and governance, and contribute to production data validation and observability. This is a hands-on leadership role in Boston with visibility across teams.