Solutions Engineer - Data Engineering and Quality Assurance

Job Title: QA Solutions Engineer

Location: REMOTE

Mandatory: Work Experience with Capital One or Discover Financial Services

Job Overview:

Explore, test, and document failure modes across API, CLI, and orchestration workflows using modern data stack tools (Snowflake, Databricks, Airflow, Fivetran, Terraform, DBT, Azure Data Factory, AWS, GitHub Actions etc.). This is a manual-first role to discover the problem space—automation may follow as patterns emerge.

Required:

• Experience in software QA, support engineering, or technical testing roles
• Familiarity with modern data engineering platforms and orchestrators:
• Examples: Airflow, Terraform, DBT, Databricks, GitHub Actions, Azure Data Factory
• Ability to manually set up test environments and reproduce issues across multiple systems
• Experience with APIs, CLI tools, and validating system integrations
• Strong written skills for defect reproduction, test case documentation, and QA communication
• Self-starter mindset — able to explore unfamiliar systems, dig for failure paths, and propose next steps
• Ability to work independently in a fully remote team
• Comfortable testing in complex, high-variance customer environments (non-standard configurations)