QA Specialist

Immediate need for a talented QA Specialist. This is a 07+ Month CTH opportunity with long-term potential and is U.S(Remote). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-92688

Pay Range: $50 - $60 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Execute exploratory, production-oriented QA on customer-critical integration paths across tools like DBT, Airflow, Terraform, ADF, and GitHub Actions
• Recreate and document integration issues surfaced by customers and support
• Test and validate APIs, CLI, and system behavior under different configurations
• Partner with Support and Product to prioritize edge case testing aligned with real-world impact
• Identify and articulate blast radius and system behavior under unexpected or invalid configurations
• File actionable, reproduction-ready bugs with context for engineering
• Track coverage across tested tools, connectors, and orchestration flows
• Contribute to early-stage runbooks and automation plans, once common patterns are identified
• Serve as an internal integration hunter to expose gaps before customers do

Key Requirements and Technology Experience:

• Skills: QA Specialist Test, API, CLI, and orchestration workflows using modern data stack tools (Snowflake, Databricks, Airflow, Fivetran, Terraform, DBT, Azure Data Factory, AWS, GitHub Actions.
• 3+ years 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, AzureData 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)
• Prior experience in Support Engineering, SRE, or Solutions QA roles
• Familiarity with AWS, Snowflake, Databricks, or enterprise data warehouse environments
• Scripting or automation skills (e.g. Python, Bash, Postman collections, etc.)
• Exposure to data quality tools or ETL pipeline validation
• Background in high-scale enterprise B2B SaaS environments

Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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