QA Engineer Lead – Financial Systems (On-site TX)

IBM Computing; Austin (TX); Remote; USD 100,000 - 150,000; Full time

Job summary

IBM Consulting is seeking a QA Engineer - Financial Systems to design and execute comprehensive data quality testing for ETL, BAO, MDM, and data-intensive financial applications. You will translate business requirements into robust test strategies, develop optimized tests, and ensure data integrity across complex data pipelines.

This role can be performed from anywhere in the United States, enabling collaboration with global teams and leveraging IBM's hybrid cloud and data capabilities to

Qualifications

• Experience with Core Banking System (FIS) domains: deposits, lending, GL, ACH and payments.
• Experience designing and executing data quality testing for ETL, BAO, MDM, and data migrations.
• Ability to plan and execute testing activities, estimate efforts, create test cases, and identify environments/data requirements.
• Strong analytical and cognitive techniques for data quality testing and analysis.

Responsibilities

• Design and execute data quality testing strategies for ETL and data-intensive apps.
• Plan testing activities, estimate work, create test cases, and identify test data requirements.
• Execute test cases using manual and automation approaches; report status and defects.
• Analyze test outcomes to drive continuous improvements.
• Develop optimized test scenarios aligned with business requirements.

Skills

Data quality testing

ETL testing

Test planning

Test execution

Test automation

Data analysis

Analytical thinking

Tools

BAO

MDM

FIS

Job description

Introduction

A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a QA Engineer - Financial Systems you will design and execute comprehensive data quality testing strategies for various data‑intensive applications. You will develop a deep understanding of business requirements and design optimized test scenarios to ensure data quality and integrity.

Your primary responsibilities will include:

• Design Testing Strategies: Design and execute comprehensive data quality testing strategies for ETL, Big Data, and data‑intensive applications, including BAO, MDM, and data migrations.
• Plan Testing Activities: Plan and execute testing activities, estimate work efforts, create test cases, and identify test environment and test data requirements.
• Execute Test Cases: Utilize manual and automation solutions to execute test cases, report test status, and perform defect creation, triage, and resolution.
• Analyze Test Outcomes: Analyze test outcomes for continuous improvements using analytical and cognitive techniques and tools.
• Optimize Test Scenarios: Develop a deep understanding of business requirements and design optimized test scenarios to ensure data quality and integrity.

This job can be performed from anywhere in the U.S.

Required technical and professional expertise

• Experience in Core Banking System (FIS) in domains such as:

• Deposits: DDA, savings, money market, CDs, IRAs- Lending: consumer loans, mortgage, home equity, auto loans

• General Ledger: GL posting, balancing, reconciliation

• ACH & Payments: ACH origination and receipt, wire transfers, bill pay

• Data Quality Testing Experience: Experience with designing and executing comprehensive data quality testing strategies for ETL, Big Data, and data‑intensive applications, including BAO, MDM, and data migrations.

• Business Requirements Understanding: Experience in developing a deep understanding of business requirements to design optimized test scenarios ensuring data quality and integrity.

• Test Planning and Execution: Experience with planning and executing testing activities, estimating work efforts, creating test cases, and identifying test environment and test data requirements.

• Test Automation and Analysis: Experience utilizing manual and automation solutions to execute test cases, reporting test status, and performing defect creation, triage, and resolution, as well as analyzing test outcomes for continuous improvements.

• Technical Tools and Techniques: Experience with analytical and cognitive techniques and tools for data quality testing and analysis.

Preferred technical and professional experience

• Data Migration Knowledge: Experience with data migration projects, including data quality testing and validation, is beneficial for this role. Familiarity with data migration tools and technologies can aid in designing and executing comprehensive data quality testing strategies.
• BAO and MDM Expertise: Experience working with Business Application Objects (BAO) and Master Data Management (MDM) systems can be advantageous in designing optimized test scenarios and ensuring data quality and integrity.
• Advanced Analytics Skills: Knowledge of advanced analytics and cognitive techniques can enhance the analysis of test outcomes for continuous improvements, although it is not a requirement for the position.

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.