QA Analyst– ETL Testing

Resolve Tech Solutions; Irving (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Resolve Tech Solutions is hiring for a QA/Quality Engineer role focused on data-intensive marketing tech environments. The role involves testing data pipelines, validating data models, and building automated quality checks to ensure accuracy across audiences, features, and attributes.

You will collaborate with data science and engineering teams to validate production features and maintain data contracts, while enforcing privacy and compliance standards in testing scopes.

Qualifications

• 5+ years of experience in a quality assurance or quality engineering role in data-intensive environments.
• Hands-on experience testing data pipelines, ETL/ELT processes, and data platforms.
• Strong SQL skills for data validation and exploratory testing.
• Experience with test automation tools and frameworks (pytest, Selenium).
• Familiarity with CI/CD pipelines and integrating quality gates into release workflows.
• Experience with defect tracking and test management tools (Jira, TestRail).
• Understanding of data quality dimensions (accuracy, completeness, timeliness).

Responsibilities

• Define and execute comprehensive test plans and regression suites for data pipelines.
• Validate data models and feeds to decisioning systems for accuracy and completeness.
• Design data-quality validation frameworks and automated test scripts.
• Verify data attributes delivered to activation platforms against requirements.
• Collaborate with data science and engineering on model features and data contracts.
• Provide metrics and risk assessments to leadership.

Skills

QA Experience

SQL skills

Test Automation

CI/CD pipelines

Jira / TestRail

Tools

pytest

Selenium

Job description

• Define and execute comprehensive test plans, test cases, and regression suites for batch and real-time data pipelines in Databricks and related tooling that support audience, personalization, and measurement use cases.
• Validate data models, feature/attribute pipelines, and marketing data feeds to decisioning systems and measurement platforms for accuracy, completeness, and consistency.
• Design and implement data-quality validation frameworks, automated test scripts, and monitoring checks so segments, flags, and attributes are accurate and trustworthy.
• Verify governed customer attributes and audiences delivered to activation platforms (e.g., Hightouch, Salesforce Marketing Cloud) against requirements, with clear defect documentation and traceability.
• Partner with data science and engineering to validate productionized model features and architecture changes, ensuring alignment on data contracts and identity resolution.
• Assess and enforce privacy and compliance requirements across all data flows through targeted test coverage.
• Provide leadership-ready quality status, defect trends, risk assessments, and metrics reporting, and prepare decision memos that drive cross-team and leadership alignment.

Basic Qualifications:

• 5+ years of experience in a quality assurance or quality engineering role, preferably in data-intensive or marketing technology environments required.
• Hands-on experience testing data pipelines, ETL/ELT processes, and data platforms (e.g., Databricks, Snowflake, or similar) strongly preferred.
• Strong SQL skills for data validation and exploratory testing preferred.
• Experience with test automation tools and frameworks (e.g., pytest, Selenium, or equivalent).
• Familiarity with CI/CD pipelines and integrating quality gates into release workflows.
• Experience with defect tracking and test management tools (e.g., Jira, TestRail, or similar).
• Solid understanding of data quality dimensions (accuracy, completeness, timeliness, consistency) and how to measure them.