Senior Data QA Engineer | Automation Lead

Boston While Black; Boston (MA); Hybrid; USD 88,000 - 126,000; Full time

Benefits offered by this job

Hybrid work environment

Competitive incentive bonus

401(k) matching

Education assistance

Paid time off

Job summary

MFS Investments is seeking a Lead Data QA Engineer to drive automation across the unified data platform. You will design and implement scalable data quality testing, partnering with data engineers, product owners, and external providers in an Agile environment.

You will lead testing across data pipelines, validate instruments, pricing, and reference data, and integrate QA into CI/CD. A strong engineering mindset and leadership are essential for advancing data quality at MFS.

Qualifications

• Bachelor’s degree in CS, Engineering, Information Systems, Data Science, or related field.
• 5+ years in data quality engineering, data testing, QA automation, or related roles.
• Strong SQL and Python with experience validating complex datasets.

Responsibilities

• Lead automated data testing and validation frameworks for the unified data platform.
• Define and drive the Data QA strategy including test planning, automation, and production data validation.
• Develop reusable, scalable automated testing capabilities for data pipelines, transformations, APIs, and databases.
• Validate investment data including instruments, reference data, transactions, positions, and pricing.
• Integrate automated data quality testing into CI/CD pipelines and monitor quality metrics.
• Lead root-cause analysis of data defects and mentor engineers on QA standards.

Skills

Advanced SQL

Python

Data QA

Automation

CI/CD

Snowflake

Data pipelines

Agile

Financial data

Data governance

Education

Bachelor's degree

Tools

Git

Job description

MFS Investments is seeking a Lead Data QA Engineer to drive automation across the unified data platform. You will design and implement scalable data quality testing, partnering with data engineers, product owners, and external providers in an Agile environment.

You will lead testing across data pipelines, validate instruments, pricing, and reference data, and integrate QA into CI/CD. A strong engineering mindset and leadership are essential for advancing data quality at MFS.