What excites you about designing and delivering reliable data solutions that improve data quality and drive better decisions across the insurance lifecycle?
Are you motivated by solving complex data challenges, working with modern engineering practices and exploring AI-assisted automation to create meaningful business impact?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance.
About the Role
As a Data Engineer, you will design, develop, test and support reliable data solutions that enable high-quality data products and services. Initially focused on Data Management activities, you will play a key role in data profiling, validation, quality management and issue resolution while growing into broader Data Engineering ownership.
Working closely with technical teams and business stakeholders, you will translate data requirements into scalable and maintainable solutions, helping to improve data quality, operational efficiency and customer outcomes across our Insurance business.
Responsibilities
- Own assigned data transfers and components, including collection, transfer and contributor/customer setup, with responsibility for their ongoing maintainability.
- Collaborate with technical teams and stakeholders to understand data and product requirements and translate them into effective data solutions.
- Design, develop, test and maintain efficient, repeatable and maintainable data engineering solutions using established coding and engineering practices.
- Evaluate technical approaches and recommend solutions that balance delivery, data quality, testing and maintainability.
- Perform Data Management activities, including data profiling, validation, quality management and investigation and resolution of data issues.
- Troubleshoot data engineering issues, identify root causes and implement sustainable fixes.
- Identify opportunities for automation, including AI-assisted engineering and intelligent automation, to improve productivity, troubleshooting and delivery.
- Contribute to code reviews, technical specifications, database and workflow management, process improvement and adoption of relevant new technologies.
Requirements
- Experience in Data Management, Data Engineering or a related technical data role.
- Strong knowledge of data manipulation, profiling, validation and data quality practices.
- Experience working with data models, data requirements and maintainable data solution designs.
- Experience with relevant development technologies, such as SQL, Java/J2EE, JavaScript, C/C++, .NET, HTML/XML, HPCC, Windows or Unix.
- Understanding of software engineering practices, including testing, code reviews, maintainability and development methodologies such as Agile or Waterfall.
- Strong analytical and problem-solving skills, with the ability to assess alternatives and recommend appropriate solutions.
- Clear communication skills, attention to detail and an interest in learning and applying new technologies, including AI-assisted engineering and automation
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.
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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.
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Skills Required
- Experience in Data Management, Data Engineering, or a related technical data role
- Strong knowledge of data manipulation, profiling, validation, and data quality practices
- Experience working with data models, data requirements, and maintainable data solution designs
- Experience with relevant development technologies such as SQL, Java/J2EE, JavaScript, C/C++, .NET, HTML/XML, HPCC, Windows, or Unix
- Understanding of software engineering practices, including testing, code reviews, maintainability, and Agile or Waterfall methodologies
- Strong analytical and problem-solving skills
- Clear communication skills and attention to detail
- Interest in learning and applying new technologies, including AI-assisted engineering and automation
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.
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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.
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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.
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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.
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