QA Data & Automation Engineer - Enterprise AI Platforms

Mathco; Bentonville (AR); Vor Ort; USD 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Healthcare

Retirement benefits

Zusammenfassung

MathCo is seeking a QA Data & Automation Engineer to own quality across our Enterprise Data Platform and AI delivery ecosystem. You’ll design automation frameworks, validate data flows, and ensure production-grade reliability across dashboards, ML models, and AI applications.

Collaborating with data science, engineering, and product teams, you’ll translate BRDs into robust test plans, track defects in Jira, and drive UAT readiness for smooth releases.

Qualifikationen

• 3+ years of hands-on software testing in data engineering, analytics or cloud-native environments.
• Proficient in Python or Java, with automation frameworks such as Selenium WebDriver or RestAssured.
• Strong SQL experience and familiarity with cloud ecosystems (AWS, Azure, or GCP).
• Experience with Agile, Git workflows, and CI/CD tools like Jenkins.

Aufgaben

• Automation Engineering: Build automated test suites and frameworks from scratch using open-source tools and modern CI/CD practices.
• Functional & AI/ML Validation: Perform deep functional testing, output verification, and QA for analytical dashboards, ML models, and AI-driven applications.
• Data Quality & Pipeline Testing: Write advanced SQL queries to validate cloud ingestion, ETL/ELT transformations, schema integrity, and data completeness across large-scale pipelines.
• Cross-Functional Collaboration: Translate BRDs, user stories, and acceptance criteria into robust test plans.
• Defect Lifecycle Ownership: Track defects end-to-end in Jira, identify root causes, and flag systemic risks across the platform.
• Release & UAT Support: Drive UAT readiness, coordinate stakeholder sign-offs, and ensure smooth, predictable releases across environments.

Kenntnisse

Python

Java

SQL

Agile

Git

Jenkins

Tools

Selenium WebDriver

RestAssured

Jobbeschreibung

MathCo is seeking a QA Data & Automation Engineer to own quality across our Enterprise Data Platform and AI delivery ecosystem. You’ll design automation frameworks, validate data flows, and ensure production-grade reliability across dashboards, ML models, and AI applications.

Collaborating with data science, engineering, and product teams, you’ll translate BRDs into robust test plans, track defects in Jira, and drive UAT readiness for smooth releases.