Senior Quality Test Engineer II
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
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
Skills Required
- 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
- Proficiency in Python, Node.js, SQL, or similar programming languages
- Experience implementing data quality practices, including validation, profiling, reconciliation, monitoring, and automated quality controls
- Understanding of APIs, microservices, backend systems, and modern software architecture principles
- Experience with AWS, Azure, or GCP and distributed systems
- Familiarity with data lakes, data warehouses, Databricks, Spark, Kafka, Delta Lake, Looker, or similar technologies
- Experience with testing, monitoring, and observability tools such as Playwright, pytest, Jest, Great Expectations, Datadog, Prometheus, CloudWatch, or similar
- Experience in regulated industries
- Experience with Infrastructure as Code tools such as Terraform or CloudFormation
- Effective collaboration across global teams and overlap with U.S. business hours
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
-
Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
-
Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
-
Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
