QA Analyst

Ethereum Technologies; Jersey City (NJ); On-site; USD 70,000 - 110,000; Full time

Job summary

Ethereum Technologies seeks 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 accuracy and completeness, develop and run DBT tests, and perform QA validation across pipelines.

Collaborating with data engineers and analytics teams, you will document test cases, track defects in Jira, and ensure data integrity end-to-end.

Qualifications

• Hands-on experience writing SQL queries to validate data.
• Experience running DBT tests and validating data quality.
• QA in modern analytics platforms (Snowflake or Databricks).

Responsibilities

• Validate data quality across cloud analytics pipelines.
• Write complex SQL queries to verify accuracy, completeness, and consistency.
• Develop, run, and maintain DBT tests for transformations.
• Perform QA validation in Snowflake or Databricks.
• Document test cases and validation results.
• Identify and help resolve data discrepancies.
• Collaborate with data engineering and analytics teams.
• Track defects using Jira.
• Maintain test documentation.

Skills

SQL queries

Data validation

DBT tests

Data quality

Analytics platforms

Tools

Jira

Snowflake

Databricks

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

• 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.