A715-Quality Assurance Tester
Job in
Trenton, Mercer County, New Jersey, 08628, USA
Listed on 2026-07-20
Listing for:
Torrey Holistics
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Engineering, IT QA Tester / Automation, Data Analyst
Job Description & How to Apply Below
Both Phone and In Person
Note:
This is a Hybrid position - 3 Days On-Site, 2 Days Remote. Projected Project End Date: 09/30/2027
Our direct client has an opening for a Quality Assurance Tester (805255)
This position is for up to 12 months, with the option of extension, and is located in Trenton, NJ 08625
We can work corp to corp or W2. Send rate and resume
If you are interested, please submit the following:
YOUR CURRENT RESUME YOUR HOURLY RATEData / QA Automation Experience Required 7 Years Advanced SQL Querying Required 7 Years Manual Backend / Data Validation Required 7 YearsAWS Core Cloud Services Required 3 Years Snowflake (or competitor like Databrick/Big Query/Reshift) Required 3 Yearsdbt (data build tool) Validation Highly desired 2 Years Salesforce Data Integration Highly desired 3 Years Copado Robotic Testing Desired 1 Years You will own data quality and regression testing for our cloud data platform, ensuring seamless data flow and transactional consistency from our source systems into our data warehouse.
This role requires a balance of building automated checks and performing hands-on manual data reconciliation to quickly isolate anomalies.
Build and maintain scalable test automation frameworks while performing strategic manual data validation across cloud data pipelines.
Write complex, high-performance SQL queries for deep-dive data reconciliation, schema validation, and end-to-end data integrity checks.
Validate transactional consistency and data object mapping between Salesforce and downstream data platforms.
Utilize automated testing tools to support Salesforce environments, with experience in Copado Robotic Testing considered a major plus.
Integrate automated quality gates and data tests directly into Dev Ops and CI/CD deployment pipelines.
Collaborate closely with data engineering and cloud architecture teams to troubleshoot and resolve pipeline anomalies.
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