Solutions Engineer - Data Engineering and Quality Assurance
Remote
AI Summary
Explore, test, and document failure modes across API, CLI, and orchestration workflows using modern data stack tools. Manual testing with automation potential. Strong written skills and self-starter mindset required.
Key Highlights
Manual testing of API, CLI, and orchestration workflows
Experience with modern data engineering platforms and orchestrators
Strong written skills for defect reproduction and QA communication
Technical Skills Required
Benefits & Perks
Job Description
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)