Senior Data Quality Engineer

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