Junior QA Specialist - USC / GC

Posted 2026-05-06
Remote, USA Full-time Immediate Start

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

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