$105K – $175KSeniorFull Time
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role
Do you love collaborating with teams to solve complex technical problems?
We are seeking a Consulting Data Engineer to join our team in Raleigh, NC. This position provides assistance and input to management, develops and leads large multi-functional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. The position may also provide sizing or budget recommendations to management.
Serve as a primary technical point of contact for external technology resources.
Work directly with customers and end users.
Serve as acknowledged “go to” person on coding, technical, and data management issues.
Interface with other technical personnel or team members to document, interpret, and finalize requirements.
Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.
Write and review portions of detailed specifications for the development of system components of moderate complexity.
Complete complex bug fixes and technical issues. Report issues and results, researching and identifying root causes as appropriate, documenting accordingly.
Design and work with complex data models.
Mentor lead data engineers interested in consultancy on development methodologies and optimization techniques.
Work with QA/Testing staff, project managers, technical leads, and subject matter experts to plan and execute automated and performance tests.
Develop and execute automated and performance scripts for assigned projects to successfully and consistently enable delivery of high-quality products and services on time, on budget, and to specification.
Conduct code and project reviews, ensuring review criteria are defined, and implement procedures for ensuring quality control of project deliverables.
Requirements:
10+ years engineering experience, data strategy experience and data management required.
Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required
Software development process expert in applicable methodologies (e.g., Agile, Waterfall).
Expertise in industry technology language development trends.
Expertise in data engineering and maintenance including techniques for applying best practices for overall project benefit.
Proven expertise in the use and development of applicable desktop tool sets.
Proven expert in partnering and leading internal and external technology resources in solving complex business needs.
Strong interpersonal skills.
Solid knowledge of architectural principles.
Ability to partner and lead internal and external technology resources in solving complex business needs.
Excellent proficiency with data manipulation language including optimization techniques.
Expertise in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, .Net., HPCC.
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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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