SDET for Data Quality Automation & AI Testing

Charles Schwab

Austin (TX)

On-site

USD 110,000 - 150,000

Full time

43 hours ago
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Benefits offered by this job

401(k) with company match
Sabbatical after 5 years
Paid time off
Parental leave
Tuition reimbursement
Health, dental, and vision insurance

Job summary

Charles Schwab seeks a Software Development Engineer in Test to join the Sales Service and Marketing Technology team in Austin, TX. You will partner with engineers, product teams, and business stakeholders to build scalable automation frameworks for ETL/data pipelines and raise data quality enterprise-wide.

Expect to leverage Java, Spring Boot, SQL, Selenium, and API automation, while mentoring peers and helping set testing standards.

Qualifications

  • 5+ years of Software Quality Engineering and Test Automation experience.
  • 5+ years of hands-on experience testing ETL, data integration, and Java Spring Boot applications.
  • Strong development experience with Java, Spring Boot, and SQL.
  • Expertise in ETL, data migration, data integration, and data quality validation.
  • Experience building enterprise automation frameworks using Selenium and API automation.
  • Experience validating Salesforce, enterprise platform, and analytics integrations.
  • Strong understanding of software testing methodologies, including regression, exploratory, and risk-based testing.
  • Experience with Jira, Zephyr, Confluence, and Agile delivery practices.
  • Technical leadership experience, including mentoring and code reviews.
  • 1+ years of experience using GitHub Copilot or AI-assisted development tools.
  • Bachelor’s degree in computer science ,related field or equivalent work experience.

Responsibilities

  • Develop and maintain automated testing frameworks for ETL, data integration, and Java Spring Boot applications.
  • Validate data pipelines, transformations, migrations, and end-to-end integrations.
  • Build automation solutions using Java, SQL, Selenium, API automation, and modern testing tools.
  • Drive data quality through automated validation, reconciliation, and monitoring.
  • Establish testing standards, frameworks, and best practices across teams.
  • Leverage AI tools, including GitHub Copilot, to improve testing efficiency and coverage.
  • Mentor engineers and provide technical leadership through code reviews and quality initiatives.
  • Support risk assessment, defect management, and release readiness activities.

Skills

Java
Spring Boot
SQL
ETL
Data quality validation
Selenium
API automation
Jira
Zephyr
Confluence
Agile delivery
Mentoring
GitHub Copilot

Education

Bachelor’s degree in computer science, related field or equivalent work experience

Tools

Jira
Zephyr
Confluence

Job description

Charles Schwab seeks a Software Development Engineer in Test to join the Sales Service and Marketing Technology team in Austin, TX. You will partner with engineers, product teams, and business stakeholders to build scalable automation frameworks for ETL/data pipelines and raise data quality enterprise-wide.

Expect to leverage Java, Spring Boot, SQL, Selenium, and API automation, while mentoring peers and helping set testing standards.

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