Quality Assurance (QA) Data Engineer
Join Cyntegrity, one of the leading clinical trial risk management technology providers in the industry. We are proud of our highly rated MyRBQM Portal and MyRBQM Academy brands.
If you're passionate about data, technology, and innovation in healthcare and you're looking to join a fast-growing, purpose-driven company this is an exciting opportunity for you.
Our international and collaborative team is looking for a Quality Assurance (QA) Data Engineer to support the development and optimization of our data pipelines, datasets, and KRI (Key Risk Indicator) systems that power clinical trial insights and analytics.
Key Responsibilities
- Develop, maintain, and optimize structured and unstructured datasets.
- Design and implement data mappings from raw clinical data to Cyntegrity's internal formats.
- Enhance data quality, consistency, and efficiency across systems.
- Collaborate with R&D, Data Science, and QA teams to ensure alignment with business and regulatory requirements.
- Support data transformation, ETL, and integration processes.
- Work with both legacy and new code to improve scalability and reliability of data systems.
- Contribute to risk management and compliance efforts across regulated environments.
Essential Criteria
Education
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.Experience / Skills
3+ years of software programming experience.2+ years of experience with .NET, Python, or other scripting languages.Experience with agile product development lifecycle.Proficiency in data transformation, ETL, and pipeline development.Familiarity with risk management concepts and process-oriented environments.Comfortable working remotely and delivering measurable results.Strong troubleshooting, communication, and problem-solving skills.Willingness to work with both legacy systems and new architectures.Working knowledge of written and spoken English.Knowledge (Technical Proficiency)
Programming Languages : Python, R, JavaScript, .NET C#Data Formats : XML / XPATH, JSON, SAS, CSV, ExcelDatabases : MongoDB, SQLTechnologies : Docker, Linux, Bash, Azure DevOps (or similar tools), ETL pipelinesBonus : Azure cloud experience or certificationsPlus : Domain knowledge in clinical trials, data standards, and applied statisticsFamiliarity with CFR 21 Part 11, GCP, and FDA Software Validation GuidanceCompensation
Full-time employmentCompetitive salaryRemote work flexibilityWe support sponsors and CROs with clinical trial risk management technology and educational programs to bring therapies to market faster, safer, and more efficiently.
Cyntegrity is a fast-growing, international company driven by innovation and quality. We aim to be the first-choice provider of specialized cloud and SaaS solutions for ICH GCP E6(R3)-compliant risk-based quality management and clinical research.