Senior QA Automation Engineer

DataFitch; Jersey City, Northern (NJ, KY); Hybrid; USD 105,000 - 145,000; Full time

Job summary

DataFitch is a Unified Data Analytics platform seeking an Automation QA Engineer to design and implement intelligent test automation solutions for our platforms. This role blends scripting with no-code automation, and explores AI agents to generate and maintain tests.

You will work as an individual contributor within Agile teams, driving in-sprint automation, integrating tests into CI/CD pipelines, and collaborating with stakeholders to ensure quality and timely deliveries.

Qualifications

• 5+ years of hands-on experience in QA automation.
• Experience with both code-based and no-code automation.
• Familiarity with AI agents for test generation and validation.
• Strong QA best practices and Agile methodologies.

Responsibilities

• Act as an individual contributor to design, develop, and maintain automated test suites for the platform using both code-based and no-code tools
• Drive in-sprint automation to reduce manual test efforts, accelerate execution, and ensure high-quality, timely deliveries within Agile cycles.
• Created or Leveraged AI/LLM agents to auto-generate test scripts, optimize regression coverage, and support test impact analysis.
• Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitHub ); troubleshoot failures and manage test data for quality releases.
• Collaborate with stakeholders to define test scope, perform risk analysis, and align testing with business goals and Agile planning.
• Develop test cases, traceability matrices, and robust automation packs to ensure comprehensive coverage and efficient execution.
• Monitor and report on test coverage, automation effectiveness through metrics, and defects; ensure clear documentation and reproducible defect logs.
• Research and apply emerging AI/GenAI-driven QA tools to improve automation efficiency and quality.
• Maintain test environments and tools to ensure optimal stability and performance.
• Champion continuous improvement and elevate quality concerns promptly and collaboratively.

Skills

QA automation

Scripting

Agile methods

Team collaboration

Tools

Selenium

Python

Jenkins

GitHub

Job description

DataFitch is a Unified Data Analytics platform that simplifies data access, automates manual processes, and ensures enterprise‑grade scalability, security, and compliance. We enable organizations to make their data analytics‑ready, accelerate AI adoption, and empower teams to make confident, data‑driven decisions. Our no‑code platform helps users clean, combine, and understand their data quickly and efficiently. With integrated data quality, governance, and advanced AI/ML capabilities, DataFitch transforms complex data ecosystems into clear, actionable insights that drive strategic business outcomes. We excel at integrating diverse data sources, enforcing strong governance, and delivering real‑time analytics that reveal hidden patterns—helping organizations solve complex challenges and unlock new opportunities. We are seeking a highly skilled Automation QA Engineer to design and implement intelligent test automation solutions for our platforms. This role blends advanced scripting skills with hands‑on experience in no‑code automation tools and explores the use of AI agents to enhance test case generation and maintenance. You’ll play a key role in ensuring quality and consistency in mission‑critical business applications while helping evolve QA function through smart automation and AI‑driven testing strategies.

• Act as an individual contributor to design, develop, and maintain automated test suites for the platform using both code-based and no-code tools
• Drive in-sprint automation to reduce manual test efforts, accelerate execution, and ensure high-quality, timely deliveries within Agile cycles.
• Created or Leveraged AI/LLM agents to auto-generate test scripts, optimize regression coverage, and support test impact analysis.
• Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitHub ); troubleshoot failures and manage test data for quality releases.
• Collaborate with stakeholders to define test scope, perform risk analysis, and align testing with business goals and Agile planning.
• Develop test cases, traceability matrices, and robust automation packs to ensure comprehensive coverage and efficient execution.
• Monitor and report on test coverage, automation effectiveness through metrics, and defects; ensure clear documentation and reproducible defect logs.
• Research and apply emerging AI/GenAI-driven QA tools to improve automation efficiency and quality.
• Maintain test environments and tools to ensure optimal stability and performance.
• Champion continuous improvement and elevate quality concerns promptly and collaboratively.

• 5+ years of hands‑on experience in QA automation with both script-based tools (e.g., Selenium, Python) and no-code platforms.
• Experience implementing and managing test automation frameworks for enterprise platforms , developing end-to-end test automation scripts involving multiple complex systems to attain seamless experience for customers using the process/product.
• Familiarity with AI agents (e.g., OpenAI, Claude, Co‑pilot) and how they can support testing, such as script generation, test optimization, and smart validation.
• Strong understanding of QA best practices, test planning, and Agile methodologies.
• Proficiency with version control systems (e.g., Git), CI/CD pipelines, and test management tools (e.g., Jira, ).
• Exposure to prompt engineering or building/testing GenAI-powered features.
• Experience with performance testing, load testing (JMeter), or security testing frameworks.
• Passion for delivering high-quality products and excellent customer satisfaction.
• Proactive team player with strong collaboration and communication skills across departments.
• Strong critical thinking and analytical abilities to simplify complex issues and develop effective solutions.
• Solid understanding of the Test Life Cycle and Agile/Scrum methodologies, with hands‑on experience in test design and execution.
• Able to manage tasks independently, prioritize effectively, and adapt in a fast‑paced environment.
• Detail-oriented with strong problem‑solving skills and the ability to handle multiple priorities efficiently.