LexisNexis
Website:
lexisnexis.com
Job details:
Would you like to be part of a team that delivers high-quality software to our customers?
Are you a visible champion with a ‘can do’ attitude and enthusiasm that inspires others?
About The Business
LexisNexis Risk Solutions empowers organizations worldwide with innovative tools for risk assessment and decision‑making. Within our Insurance Risk Solutions business, we use advanced analytics and modern technology to support the entire insurance policy lifecycle—helping clients improve efficiency, reduce risk, and achieve better outcomes. Learn more about our Insurance Risk Solutions here https://risk.lexisnexis.com/insurance.
About The Team
You’ll join a collaborative engineering team building scalable, high-quality software solutions across backend, frontend, and cloud. The team works closely with cross-functional partners, values knowledge sharing and continuous learning, and encourages everyone to contribute ideas and improvements while balancing technical excellence with delivery.
About The Role
We are seeking a Senior Data Quality Assurance & Automation Engineer to help drive quality across our enterprise data lake platform. In this role, you will design and implement scalable testing and data quality frameworks, collaborate with cross-functional teams, and leverage automation and AI-assisted engineering practices to improve efficiency and reliability. We welcome candidates with diverse backgrounds and experiences who are passionate about quality engineering, data excellence, and continuous improvement.
Responsibilities
- Design and maintain automated testing frameworks for APIs, applications, data pipelines, and cloud-based services.
- Ensure data quality through data validation, profiling, reconciliation, monitoring, observability, and automated quality controls.
- Establish and improve testing standards by defining quality metrics, best practices, and testing processes across platforms.
- Leverage AI tools to improve engineering efficiency through test case generation, documentation, code reviews, and synthetic test data creation.
- Build automation solutions including internal tools, CI/CD processes, dashboards, and workflows that improve reliability and scalability.
- Apply modern engineering practices using Python, Node.js, SQL, APIs, microservices, distributed systems, and cloud platforms such as AWS, Azure, or GCP.
- Work with modern data platforms including data lakes, data warehouses, Databricks, Spark, Kafka, Delta Lake, Looker, or similar technologies.
- Collaborate with global teams and provide reasonable overlap with U.S. business hours. Experience in regulated industries and Infrastructure as Code tools (Terraform, CloudFormation) is a plus.
Requirements
- Experience in test automation, quality engineering, software testing, data quality, or related areas supporting complex applications and data platforms.
- Strong automation experience, including CI/CD pipelines and tools such as Jenkins, GitLab CI, GitHub Actions, Airflow, or similar technologies.
- Proficiency in Python, Node.js, SQL, or similar programming languages.
- Experience implementing data quality practices, including data validation, profiling, reconciliation, monitoring, and automated quality controls.
- Understanding of APIs, microservices, backend systems, and modern software architecture principles.
- Experience working with cloud platforms such as AWS, Azure, or GCP, and distributed systems.
- Familiarity with data lakes, data warehouses, Databricks, Spark, Kafka, Delta Lake, Looker, or similar modern data technologies.
- Experience with testing, monitoring, and observability tools such as Playwright, pytest, Jest, Great Expectations, Datadog, Prometheus, CloudWatch, or similar solutions, along with effective collaboration across global teams and overlap with U.S. business hours.
Our Commitment to Inclusion
We encourage applications from individuals of all backgrounds, including but not limited to Underrepresented groups, People living with disabilities, Career changers and Candidates with non‑traditional education or experience. If you require accommodations at any stage of the recruitment process, please let us know—we are committed to supporting your success.
Learn more about the LexisNexis Risk team and how we work
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