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QA Engineer Lead - Financial Systems; On-site TX

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: IBM
Full Time position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: QA Engineer Lead - Financial Systems (On-site TX)
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: Utilise manual and automation solutions to execute test cases, report test status, and perform defect creation, triage, and resolution.
  • Analyze Test Outcomes: Analyse 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 education

Bachelor's Degree

Preferred education

Bachelor's Degree

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 analysing 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…
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