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 Data 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.
Help ensure the quality and reliability of our data by testing data pipelines, transformations, databases, and data-driven applications, identifying potential issues and validating data accuracy, consistency, and integrity.
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.
Data Testing Experience: Experience testing data pipelines, data transformations, databases, or data-driven applications, with the ability to validate data accuracy, consistency, and integrity.
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.
Skills Required
- 4+ years of experience in Quality Assurance
- Hands-on test automation experience 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
- Strong analytical and problem-solving skills
- Strong attention to detail and ability to document, troubleshoot, and communicate defects and test results
- Strong organizational skills and ability to manage multiple testing initiatives
- Proactive mindset focused on improving automation, test coverage, and efficiency
- Strong written and verbal communication skills
- Interest and experience leveraging AI tools for testing improvements
- Ability to collaborate in a fast-paced environment
- Bachelor's degree in Computer Science, Systems Engineering, Information Technology, Software Engineering, or a related technical field
- Cloud experience
SunnyData Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SunnyData and has not been reviewed or approved by SunnyData.
-
Healthcare Strength — Health insurance is considered to start on day one for employees and eligible family members, which is positioned as a meaningful advantage. Feedback suggests coverage timing and inclusivity are clear for U.S. roles.
-
Leave & Time Off Breadth — Paid time off is described as at least 15 days annually plus 9 company holidays for U.S. roles. This indicates a solid baseline that aligns with standard professional services expectations.
-
Flexible Benefits — Remote-first work with no relocation required is highlighted, offering location flexibility across multiple countries. This flexibility is presented as a notable non-cash perk.
SunnyData Insights
What We Do
SunnyData is a Databricks-centered partner with deep Data Engineering roots, exclusively focused on migrating, modernizing and scaling data solutions on the Databricks platform. We bridge the gap between concept and real-world impact, recognizing that a solid Data Engineering foundation is essential for successful AI, ML, Data Science, and Analytics projects. Our expertise ensures that advanced technologies are implemented effectively, turning lab-driven innovation into tangible business outcomes and measurable ROI. Founded by data architects and engineers with a proven track record, our leadership team includes early adopters of Spark and leaders in Apache big data projects. With over 20 years of experience across Cloudera, Informatica, and phData, our team features a Databricks MVP, enabling us to solve the most complex data challenges. What We Specialize In: + Data Engineering + Data Migrations to Databricks + GenAI & Data Science + Data & AI Governance with Unity Catalog * Our deep industry expertise in Financial Services, Healthcare & Life Sciences, and Retail enables us to deliver highly contextualized solutions for regulated and data-driven sectors. We operate and deliver from both the USA and Uruguay. We chose Uruguay for its strategic location (within 3 hours of all U.S. timezones), top-tier data talent (#1 exporter in LATAM), and innovative culture, providing the fastest internet in LATAM and offering universal and free quality education.
