QA Analyst

Machine Learning Technologies, LLC; Jersey City (NJ); On-site; USD 80,000 - 105,000; Full time

Job summary

Machine Learning Technologies, LLC in Jersey City, NJ seeks a detail-oriented QA Analyst to validate data quality within a cloud analytics environment (Snowflake or Databricks).

You will write SQL queries, run DBT tests, and perform QA across modern analytics platforms to ensure data accuracy and reliability. You will collaborate with data engineering and analytics teams to understand data models, author test cases, and track defects using Jira.

Qualifications

• Hands-on experience writing SQL queries to validate data.
• Experience developing, running and maintaining DBT tests.
• Ability to validate data accuracy, completeness and consistency.
• Familiarity with Snowflake or Databricks environments.
• Collaborates with data engineering and analytics teams to validate data models.

Responsibilities

• Write complex validation queries to ensure data quality.
• Develop, run, and maintain DBT tests for transformations.
• Perform QA validation within Snowflake or Databricks environments.
• Identify, document, and help resolve data discrepancies.
• Author and maintain test cases, scripts, and validation docs.
• Track defects using Jira and collaborate with teams to resolve them.

Skills

SQL queries

Data validation

Analytical mindset

Attention to detail

Team collaboration

Tools

DBT

Jira

Snowflake

Databricks

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.