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Data Quality Analyst

Hudson Data LLCTrenton, NJ🇺🇸United StatesPosted 15 Jul 2026

Why This Role Stands Out

This hybrid role at Hudson Data LLC offers a fantastic opportunity to refine your data validation expertise by bridging automated and manual testing across enterprise data pipelines. You'll thrive here if you possess strong SQL skills and enjoy ensuring data integrity within a collaborative cloud environment, with the flexibility of two remote days per week.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Data Quality Analyst
Location: Trenton, NJ
Duration:12 Months contract

Short Description:

Seeking a Senior QA Analyst with 7+ years of experience to validate enterprise data pipelines & cloud integrations. This role balances automated testing with essential manual validation to ensure absolute data integrity across our cloud data stack.

 

Complete Description:

Note: This is a Hybrid position - 3 Days On-Site, 2 Days Remote.

 

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 DevOps and CI/CD deployment pipelines.
  • Collaborate closely with data engineering and cloud architecture teams to troubleshoot and resolve pipeline anomalies.

 

Skill

Required / Desired

Amount

of Experience

Data / QA Automation Experience

Required

7

Years

Advanced SQL Querying

Required

7

Years

Manual Backend / Data Validation

Required

7

Years

AWS Core Cloud Services

Required

3

Years

Snowflake (or competitor like Databrick/BigQuery/Reshift)

Required

3

Years

dbt (data build tool) Validation

Highly desired

2

Years

Salesforce Data Integration

Highly desired

3

Years

Copado Robotic Testing

Desired

1

Years

 

Skills

SQL
AWS
Salesforce
Snowflake
BigQuery
Reconciliation
dbt

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