QA Engineer - Data & AI at SunnyData | Career Growth in Columbus
Career & Market Insight
Role Level & Market Positioning: With a 4+ year requirement and broad responsibilities spanning test automation, data validation, and pipeline quality, this is a mid-to-senior QA role. Market benchmarks for QA Engineers with Playwright/Cypress and SQL skills in the US typically range from $85,000–$115,000 annually. SunnyData's posting omits salary details, which is a mild red flag — ask early in the process.
Skills You'll Build: This role sits at a high-demand intersection of QA and data engineering:
- Data pipeline and API testing — increasingly rare and valuable skills
- AI-assisted test automation — forward-looking and marketable
- Databricks ecosystem exposure — a leading modern data platform
- CI/CD and GitHub workflows — universal DevOps fundamentals
Career Trajectory: Strong data QA experience opens paths toward Senior QA Engineer, QA Lead, Data Quality Engineer, or even DataOps roles. Databricks partnership exposure is a meaningful résumé credential in the data engineering space.
Culture Signals: SunnyData appears to be a boutique/specialist consultancy ("technology partner" positioning). This typically means: varied client projects, faster skill acquisition, but potentially less structured career laddering than a large enterprise. The mention of "fast-paced environment" is standard, but combined with the focus on process documentation and best practices, it suggests a maturing team.
Green Flags: AI tooling emphasis, modern stack (Playwright, Databricks, CI/CD), and cross-functional collaboration. Watch for: unclear remote policy and undisclosed salary range.
About SunnyData
At SunnyData, a leading Databricks technology partner, our mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications. As a QA Engineer with a strong focus on Data, you will understand requirements and translate them into effective test cases, execute and automate those tests, and track testing progress and defects.
The Impact You'll Have
Understand requirements and translate them into test plans and test cases, ensuring requirements traceability.
Execute test cases, including regression testing, and document results and testing progress.
Document, track, and validate the resolution of software defects in collaboration with Engineering.
Work with business stakeholders to clarify requirements and address testing-related questions.
Collaborate with engineers to investigate defects and determine the right solutions.
Validate data across applications, APIs, databases, and data pipelines to ensure accuracy, consistency, and integrity.
Establish and document testing processes, standards, and best practices.
Contribute to continuous improvement of testing processes and data quality.
Leverage AI tools to improve automation efficiency, data validation, and test coverage.
Collaborate with Engineering and Data teams to ensure high-quality software and reliable data.
What We Look For
4+ years of experience in Quality Assurance.
Hands-on experience with test automation using Playwright and/or Cypress.
Strong SQL skills and experience validating data in databases.
Experience testing APIs and data-driven applications.
Understanding of data quality, consistency, and integrity.
Experience with GitHub and CI/CD pipelines.
Cloud experience is a plus.
Strong analytical and problem-solving skills.
Strong attention to detail and ability to effectively document, troubleshoot, and communicate defects and test results.
Strong organizational skills, with the ability to manage multiple testing initiatives and drive them to completion.
Proactive mindset, with the ability to anticipate risks and identify opportunities to improve automation, test coverage, and overall efficiency.
Strong written and verbal communication skills, with the ability to build positive relationships with internal teams and external partners.
Interest and experience in leveraging AI tools to improve automation efficiency, data validation, and test coverage.
Ability to work collaboratively in a fast-paced environment.
Education:
Bachelor's Degree in Computer Science, Systems Engineering, Information Technology, Software Engineering, or a related technical field.
Our Commitment to Diversity and Inclusion:
SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.
Why Join SunnyData?
Innovative Environment. Work with cutting-edge technologies and industry leaders in data engineering and AI.
Customer Impact. Make a real difference in how businesses leverage data for strategic decision-making.
Career Growth. Opportunities for professional development and career advancement.
Collaborative Culture. Join a supportive team that values collaboration and knowledge sharing.
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Frequently Asked Questions
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