Quality Assurance Engineer - Data
On-site
Full Time
#Engineering
#Healthcare
#Data Quality
#SQL
#Python
#Snowflake
#AWS
#RDBMS
#Automation
#Software QA
We are Verantos, the industry leader in creating high-accuracy real-world evidence for the pharmaceutical sector. Our platform combines artificial intelligence with complex data sources like electronic health records to produce evidence that meets the rigorous standards required for regulatory and reimbursement decisions.
Responsibilities
- Build and manage automated data quality checks using Python, SQL, and Snowflake to maintain our internal data standards.
- Keep a close watch on data pipelines to detect anomalies and pinpoint potential quality concerns.
- Enhance our existing test frameworks, libraries, and overall execution efficiency.
- Perform root cause analysis on data quality issues and propose effective solutions to ensure data integrity.
- Keep current with emerging data quality methodologies, tools, and regulations specific to the healthcare industry.
- Provide management with regular updates on project status, quality metrics, bug reports, and release readiness.
Must-haves
- A Bachelor’s degree in engineering from a reputable institution.
- At least 4 years of professional experience in quality assurance, data engineering, or a related field.
- Expertise in writing complex SQL queries and working with RDBMS.
- Proven ability to develop automation using Python.
- Strong understanding of software QA methodologies, tools, and standard processes.
- Familiarity with AWS cloud services.
- Excellent verbal and written communication skills in English, combined with a detail-oriented and self-driven approach.
Nice-to-haves
- A Master’s degree in an engineering discipline.
- Prior experience working with healthcare data and industry-specific quality tools.





