Remote QA Engineer (Data) at SunnyData - Databricks — Columbus
Traveler-Friendly Insight
Remote Viability: SunnyData's job posting does not specify a required office location or headquarters city, which is a positive signal for location-independent work. However, the posting also does not explicitly state "remote" or "fully distributed," so candidates should confirm the remote policy directly during the application process.
Timezone Flexibility: No specific timezone requirements are mentioned. The role involves collaboration with Engineering and Data teams as well as business stakeholders, which typically requires some overlap hours. If the company operates primarily in US time zones, expect at least 4–6 hours of daily overlap — manageable from Europe (CET/CEST) or parts of Latin America, but more challenging from Southeast Asia.
Cost of Living Comparison: Since no salary is published, estimating purchasing power is difficult. QA Engineers with 4+ years of experience and automation skills typically earn $70,000–$110,000 USD annually in the US market. At the lower end, that stretches comfortably in:
- Lisbon, Portugal: ~$2,000–$2,500/month for a comfortable lifestyle
- Medellín, Colombia: ~$1,500–$2,000/month
- Chiang Mai, Thailand: ~$1,200–$1,800/month
Nomad-Relevant Perks: No explicit mention of coworking stipends, equipment allowances, or travel budgets. Ask about these during the interview if remote work is confirmed. The role's emphasis on documentation and async communication tools (GitHub, CI/CD) suggests a culture that may support distributed work.
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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