LexisNexis Risk Solutions is seeking a Senior Data Quality Engineer to design automation strategies, support AI tool adoption, and ensure high-quality products for clinical data use cases. The role involves developing testing protocols, utilizing AI tools, and leveraging LLMs to accelerate tasks. The team is collaborative and supportive, with a focus on growth and adaptability.
Requirements
- 5+ years in quality focused automation engineering
- Strong programming skills in Python or node.js, and CI/CD tools
- Experience building internal tools, automation scripts, and operational dashboards
- Solid understanding of microservices, APIs, and backend architecture principles
- Experience with distributed systems and cloud computing (AWS, Azure, GCP)
- Has worked with data-intensive systems (distributed datastores, data warehouses/lakes, big data processing)
- Experience with HIPAA or other compliance-heavy industries
- Experience with infrastructure as code (Terraform, Cloudformation)
- Background in data and analytics
Benefits
- Private Medical/Dental Plan
- Savings Fund
- Life Insurance
- Meal/Grocery Voucher