QA Engineer (Data Warehousing)

Enterprise Engineering; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Enterprise Engineering in New York, NY is seeking a QA Engineer with deep Investment Banking domain experience for a predominantly onsite role. You will work three days a week onsite and participate in onsite interviews.

The position emphasizes regression testing, functional/integration testing, and UAT support to ensure accuracy across end-to-end trading and reporting workflows. The ideal candidate brings strong SQL skills, Unix/Linux familiarity, and hands-on experience with AWS and Java-based

Qualifications

• Recent and extensive Investment Banking industry experience.
• Proficient in SQL for data validation.
• Experience with end-to-end testing of financial trading or reporting systems.

Responsibilities

• Perform manual regression testing to protect financial reporting and trading logic.
• Conduct functional and integration testing across front, middle, and back-office systems.
• Execute negative and ad-hoc testing to validate resilience.
• Support UAT by coordinating with developers, business analysts and end-users.

Skills

Manual Regression Testing

Functional Testing

Integration Testing

Negative Testing

UAT Support

Tools

SQL

Unix/Linux

Jira

Bitbucket

AWS

SpringBoot

Java

Job description

QA Engineer
New York, NY
3 days a week onsite work
Onsite Interview Required

***Must have recent and extensive Investment Banking industry experience

Client in NYC is looking for a Traditional QA Engineer.

Core Focus Areas:

• Manual Regression Testing: Verifying that new code deployments or updates do not break existing financial reporting, reconciliation tools, or trading logic.


• Functional & Integration Testing: Validating the end-to-end flow of transactions, trade lifecycles, and data processing between front, middle, and back-office systems.


• Negative & Ad-hoc Testing: Intentionally inputting invalid data or unexpected user actions to test application resilience and error-handling capabilities.


• User Acceptance Testing (UAT) Support: Serving as a \"quality catalyst \" by collaborating directly with developers, business analysts, and end-users to manage UAT guidelines and verify real-world operational

Technical and Domain Competencies

Traditional QA teams handle highly complex enterprise systems and generally require a specific mix of financial and technical skills:

• Database & Data Integrity: High proficiency in writing complex SQL queries to manage and validate financial data stores. Traditional and Cloud Databases.


• System Environments: Navigating backend servers using Unix/Linux commands and scripting.


• Technology Stack: AWS, Microservices, SpringBoot, Java, Streaming Architecture


• Domain Knowledge: Understanding specific financial structures such as Securities Lending, Equity Swaps, FIX protocols, and T 1 clearance mandates.


• Tool Tracking: Rigorous defect logging, sprint tracking, and requirement mapping utilizing platforms like Jira and Bitbucket