Quality Assurance Automation Engineer

MathCo; Bentonville (AR); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare

Retirement benefits

Growth opportunities

Job summary

MathCo is seeking a QA Data & Automation Engineer to own quality strategy for our Enterprise Data Platform and AI delivery ecosystem. You will design automation frameworks, validate complex data flows, and collaborate with engineering, data science, and product teams to ensure enterprise-grade reliability.

You will build automated test suites, perform AI/ML validation, and lead data quality testing across large-scale pipelines, while driving release readiness and stakeholder sign-offs.

Qualifications

• 3+ years of hands-on software testing experience, ideally in data engineering, analytics, or cloud-native environments.
• Strong programming skills in Python or Java with automation frameworks.
• Deep SQL proficiency and familiarity with cloud ecosystems (AWS, Azure, or GCP).

Responsibilities

• Automation engineering: Build automated test suites and frameworks from scratch using open-source tools and modern CI/CD practices.
• Functional and AI/ML validation: Perform deep functional testing, output verification, and QA for dashboards, ML models, and AI-driven apps.
• Data quality and pipeline testing: Write advanced SQL queries to validate cloud ingestion, ETL/ELT transformations, and data integrity across pipelines.
• Cross-functional collaboration: Translate BRDs and user stories into robust test plans with engineering and product teams.
• Defect lifecycle ownership: Track defects end-to-end in Jira and flag systemic risks across the platform.
• Release and UAT support: Drive UAT readiness and coordinate sign-offs for smooth releases.

Skills

QA testing

Python

Java

Selenium

RestAssured

SQL

Cloud platforms

Agile

Git CI/CD

US work authorization

Tools

Selenium WebDriver

RestAssured

Jenkins

Job description

MathCo is a global Enterprise AI and analytics firm helping Fortune 500 organizations solve complex business problems with measurable, real‑world impact. We build modern data products, engineering pipelines, and intelligent platforms that enable enterprises to #OwnYourIntelligence. As a Mathemagician, you’ll join a high‑performance team that thrives on collaboration, speed, and building production‑grade systems at scale.

The Opportunity

We are looking for a QA Data & Automation Engineer who will own quality strategy across our Enterprise Data Platform and AI delivery ecosystem. This role is central to ensuring that our data products, cloud pipelines, and AI/ML applications ship with zero defects and enterprise‑grade reliability. You will design automation frameworks, validate complex data flows, and partner closely with engineering, data science, and product teams to uphold the highest standards of accuracy and performance.

What You’ll Do

• 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 structured 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: Work with Data Science, Engineering, and Product teams to 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 proactively flag systemic risks across the platform.
• Release & UAT Support: Drive UAT readiness, coordinate stakeholder sign‑offs, and ensure smooth, predictable releases across environments.

What You Bring

• 3+ years of hands‑on software testing experience, ideally within data engineering, analytics, or cloud‑native environments.
• Strong programming skills in Python or Java, with experience in automation frameworks such as Selenium WebDriver or RestAssured.
• Deep proficiency in SQL and familiarity with cloud ecosystems (AWS, Azure, or GCP).
• Solid understanding of Agile, Git‑based workflows, and CI/CD tools like Jenkins.
• Ability to work in the U.S. without sponsorship, now or in the future.

Why MathCo

• Competitive compensation, healthcare, and retirement benefits.
• A culture built on continuous learning, innovation, and community.
• Clear growth pathways across data engineering, platform delivery, and enterprise AI.
• The chance to build quality systems that power some of the world’s most advanced AI and analytics platforms.