QA Analyst

Quantum Technologies. LLC; Jersey City (NJ); On-site; USD 90,000 - 120,000; Full time

Job summary

Quantum Technologies, LLC is seeking a detail-oriented QA Analyst to validate data quality within our cloud analytics environment (Snowflake or Databricks). You will write SQL queries to validate data, run DBT tests, and perform QA to ensure accuracy and reliability as data flows through pipelines.

The role requires hands-on experience with data validation, source-to-target reconciliation, and collaboration with data engineering teams to understand data models and expected outcomes.

Qualifications

• Hands-on experience writing SQL queries to validate data, run DBT tests, and perform QA in analytics platforms.
• Ability to validate data accuracy, completeness, and consistency across source and target systems.
• Strong analytical mindset with high attention to detail in data quality work.

Responsibilities

• Validate data quality within cloud analytics environments (Snowflake or Databricks) and ensure data integrity across pipelines.
• Develop, execute, and maintain DBT tests to verify transformation logic and data quality rules.
• Write and optimize SQL queries for data validation and reconciliation between source and target systems.
• Document test cases, results, and validation artifacts; track defects using QA tools (e.g., Jira).
• Collaborate with data engineering/analytics teams to understand data models and expected outcomes.

Skills

SQL

DBT tests

Data validation

QA testing

Analytical thinking

Tools

DBT

Jira

Job description

• We are looking for a detail-oriented QA Analyst to validate data quality within our cloud analytics environment (Snowflake or Databricks).
• The ideal candidate has hands-on experience writing SQL queries to validate data, running DBT tests, and performing QA within modern analytics platforms.
• This role ensures the accuracy, completeness, and reliability of data as it flows through our pipelines and analytics layer.
• Work hands-on within a Snowflake or Databricks environment to support data quality assurance efforts
• Write SQL queries to validate data accuracy, completeness, and consistency across source and target systems
• Develop, run, and maintain DBT tests (schema and data tests) to validate transformation logic and enforce data integrity
• Perform QA validation within analytics platforms such as Snowflake or Databricks, including source-to-target reconciliation
• Identify, document, and help resolve data discrepancies found during testing and validation
• Collaborate with data engineering and analytics teams to understand data models and validate expected outcomes
• Author and maintain test cases, test scripts, and validation documentation
• Track and manage defects using standard QA tools (e.g., Jira)
• Strong SQL skills with proven ability to write complex validation queries
• Strong analytical mindset with high attention to detail in data quality work

Job Description:

• We are looking for a detail-oriented QA Analyst to validate data quality within our cloud analytics environment (Snowflake or Databricks).
• The ideal candidate has hands-on experience writing SQL queries to validate data, running DBT tests, and performing QA within modern analytics platforms.
• This role ensures the accuracy, completeness, and reliability of data as it flows through our pipelines and analytics layer.
• Work hands-on within a Snowflake or Databricks environment to support data quality assurance efforts
• Write SQL queries to validate data accuracy, completeness, and consistency across source and target systems
• Develop, run, and maintain DBT tests (schema and data tests) to validate transformation logic and enforce data integrity
• Perform QA validation within analytics platforms such as Snowflake or Databricks, including source-to-target reconciliation
• Identify, document, and help resolve data discrepancies found during testing and validation
• Collaborate with data engineering and analytics teams to understand data models and validate expected outcomes
• Author and maintain test cases, test scripts, and validation documentation
• Track and manage defects using standard QA tools (e.g., Jira)
• Strong SQL skills with proven ability to write complex validation queries
• Strong analytical mindset with high attention to detail in data quality work

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.