About the Role:
We are looking for an experienced Data QA Engineer to ensure the quality, reliability, and performance of data-driven products built on Palantir Foundry.
In this role, you will validate data ingestion, transformation, aggregation, and analytics workflows, covering the full data lifecycle from raw data ingestion to AI-driven data extraction, reporting, and visualization in functional UI apps. You will leverage QA best practices to improve efficiency and test coverage, and work closely with data engineers, developers, prompt engineers, and other teams to deliver high-quality, scalable solutions that meet business, governance, and security requirements.
About the Client:
We are delivering this project to one of the global leaders in the commercial property management space.
Who are we looking for?
Responsibilities
- Design and execute test plans, test cases, and test scripts for data pipelines in Palantir Foundry.
- Validate data ingestion, transformation, and processing workflows (e.g., ML/AI pipelines).
- Experience testing LLM-based data products (inputs/outputs, validation logic).
- Perform functional, integration, regression, and performance testing for data applications.
- Conduct data quality checks using SQL and Python notebooks.
- Validate datasets, metrics, and aggregations used for reporting and dashboards/visualization apps.
- Collaborate with Palantir developers and ML engineers to troubleshoot and resolve defects.
- Monitor and report defects, metrics, and quality trends using test management tools.
- Ensure compliance with data governance and security best practices.
- Participate in improving QA processes, standards, and documentation for data-driven products.
Qualifications
- 4-5 years of experience in QA with strong focus on Data and BI apps testing.
- Hands-on experience in data platforms and BI/analytics layers, dashboards, or reporting solutions.
- Strong experience in testing data lineage, data migration, data security and compliance.
- Strong knowledge in SQL, Python, and data validation techniques.
- Experience testing APIs, ETL pipelines, big data systems, or data lakes.
- Strong understanding of data quality, data governance, and test practices.
- Experience working in Agile/Scrum environments
Would be a plus or nice to have:
- Exposure to Palantir Foundry or other data platforms.
- Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps)
- Familiarity with performance testing approaches and best practices.
- Knowledge of automation frameworks (PyTest, Robot Framework, or similar).
What we offer
Work:
- Flexible working hours;
- Collaborative, friendly team environment;
- Remote/Hybrid work;
Life:
- Company social events;
- Annual corporate parties;
Health:
- Comprehensive medical insurance;
Education:
- Allowances for professional education;
- English language courses with native speakers;
- Internal knowledge-sharing sessions.
About Proxet
Proxet is a professional software development firm trusted by clients from around the world. With our expertise in AI and machine learning, we help businesses reimagine their possibilities and transform ideas into tangible digital solutions. By providing core services with an emphasis on data practices, we shape the future, one step at a time.
If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill in the form!
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