Are you excited by the opportunity to serve as the technical anchor of a cross-functional engineering squad, driving architecture decisions, mentoring peers, and shaping the future of a next-generation healthcare data platform?
Would you like to work in an AI-accelerated development environment where you can leverage tools like GitHub Copilot while building scalable Java, React, and Python solutions that directly improve healthcare data quality and patient outcomes?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, we help payers and providers improve data quality, operational efficiency, and member outcomes through market-leading provider data management solutions. You can learn more at https://risk.lexisnexis.com.
About the Team
You'll join a collaborative Healthcare engineering squad at LexisNexis Risk Solutions, building and modernizing the platforms behind provider data management and identity solutions for payers and providers. Our cross-functional agile teams - engineers, QA, product, and analysts - value strong technical ownership, accountability, and shared delivery. We embrace an AI-accelerated SDLC and modern Copilot-based workflows, so you'll have real influence on architecture, quality, and outcomes from day one.
About the Role
This position performs complex research, design, and software development within our provider data management product line, and is expected to serve as the technical anchor for a cross-functional engineering squad. While this is an individual-contributor role, the successful candidate will operate with a high degree of technical ownership and influence—setting design direction, guiding the team through delivery, and acting as the primary technical point of contact across product, QA, and partner squads.
You will balance hands-on engineering across a suite of full-stack Java/React applications with strong technical ownership: reviewing code, driving estimates and release readiness, resolving complex issues, and mentoring peers. You will also build and support Python-based data-processing and delivery pipelines that generate and transmit data to downstream clients, and work within our AI-accelerated software development lifecycle using approved AI coding assistants to raise quality and velocity. Over time, this role will help extend our platform toward a consolidated, next-generation healthcare data platform.
Responsibilities
- Act as the squad's technical anchor, owning design direction and safeguarding quality, security, and performance across its applications, services, and data pipelines.
- Design/Build and maintain Java Spring Boot apps, React UI apps and Python-based data-processing and delivery pipelines, ensuring accurate, reliable, and timely data delivery to downstream clients.
- Lead code reviews and uphold coding best practices; complete complex feature development and bug fixes.
- Drive backlog refinement, technical estimation, and sprint/release readiness in an Agile environment.
- Serve as the primary technical liaison for cross-team dependencies, integrations, and risk resolution.
- Champion AI-accelerated SDLC practices and mentor peers on effective, responsible use of approved AI tooling.
Qualifications
- BS in Computer Science/Engineering or equivalent experience.
- 5+ years of software engineering experience, with a demonstrated track record of owning technical direction and guiding delivery on a cross-functional team.
- Proven full-stack delivery in Java and a modern JavaScript framework, plus demonstrated Python experience building data-processing or data-delivery pipelines.
- Exposure to AI-assisted development workflows.
Technical Skills
- Advanced proficiency in Java / J2EE and the Spring Boot framework for building RESTful microservices.
- Proficiency in JavaScript/TypeScript and React for modern, component-based front ends.
- Proficiency in Python for building and maintaining data-processing and delivery pipelines—including data transformation, delta/batch file generation, validation, and automated client data delivery.
- Working knowledge of workflow orchestration and scheduled batch processing (e.g., Airflow or equivalent), and experience with distributed or large-scale data-processing frameworks.
- Solid grasp of relational and NoSQL data stores (SQL, document databases) and search/indexing technologies.
- Experience with cloud-native development on Azure (AKS, App Services, Cosmos, Others), Docker, and Kubernetes.
- Strong command of CI/CD (GitHub Actions/Azure DevOps), Git branching strategy, and test-driven development.
- AI-accelerated development: hands-on experience with AI coding assistants (e.g., GitHub Copilot in VS Code and IntelliJ), effective prompt engineering, and AI-assisted code review, test generation, and refactoring.
U.S. National Base Pay Range: $86,600 - $144,400. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New Jersey, the base pay range is $102,333 - $163,467. This job is eligible for an annual incentive bonus.
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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Skills Required
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- 5+ years of software engineering experience
- Demonstrated experience owning technical direction and guiding delivery on a cross-functional team
- Full-stack delivery experience with Java and a modern JavaScript framework
- Python experience building data-processing or data-delivery pipelines
- Exposure to AI-assisted development workflows
- Advanced proficiency in Java or J2EE and Spring Boot
- Proficiency in JavaScript or TypeScript and React
- Proficiency in Python for data transformation, file generation, validation, and automated client data delivery
- Working knowledge of workflow orchestration and scheduled batch processing, such as Airflow
- Experience with distributed or large-scale data-processing frameworks
- Knowledge of relational and NoSQL data stores and search/indexing technologies
- Experience with cloud-native development on Azure, Docker, and Kubernetes
- Strong command of CI/CD, Git branching strategies, and test-driven development
- Hands-on experience with AI coding assistants, prompt engineering, AI-assisted code review, test generation, and refactoring
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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