Title: QA Specialist
Location: 100% Remote
Mode: Contract
Client: Mitchell Martin / Capital One
Preferred Visa: USC & GC Only
Mandatory Skills: Test Engineer with AWS, Azure, Snowflake, Databrick, Airflow, Exploratory testing, Integration Testing.
Job Description:
Role Overview
The Solution QA team will focus on exploratory, production-oriented testing across complex data engineering integrations-specifically Snowflake, Databricks, and Slingshot software extensions.
This is not a UAT/automation/regression testing role. It's designed to think like a customer, uncover integration issues in production-like environments, and collaborate closely with engineering, product, and support teams.
Key Responsibilities
• Test in production-like environments to surface issues tied to integrations and extensions within Snowflake and Databricks
• Identify and reproduce bugs related to: API failures, Orchestration gaps, Misconfigurations
• Validate customer-critical workflows using Airflow, Terraform, DBT, ADF, and relevant data engineering tooling
• Assist in reconfiguring environments across AWS and Azure
• Communicate findings clearly with engineering, product, and support team
• Support upcoming platform changes as Slingshot begins incorporating AI-driven features
Experience
• 3+ years in QA (must match tools/expectations in JD)
• Strong data engineering fundamentals
• Hands-on cloud experience: AWS + Azure (both required)
• Testing background:
• Exploratory testing
• Integration testing
• Experience with common QA tools (no automation required)
Technical Skills
• Snowflake
• Databricks
• APIs (debugging, failure analysis, configuration)
• Airflow (familiarity)
• Terraform (familiarity)
• DBT (familiarity)
• Azure Data Factory (familiarity)
Additional Notes
• Not customer-facing; all interactions are internal
• Part of Support under Go-to-Market; manager's background includes Release Engineering
• Works with 10-15 product engineering teams
• Automation may be encouraged but not required
• Team acts as the "customer environment," so multi-cloud knowledge is essential
• Can onboard ASAP