Software Engineer III: Data-Driven Dev & Design

LexisNexis Risk Solutions

Raleigh (NC)

On-site

USD 80,000 - 130,000

Full time

4 days ago
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Job summary

LexisNexis Risk Solutions seeks a Software Engineer in the United States to contribute to design, coding, and testing within a specific product area. The role focuses on solving moderately difficult problems, designing program flow, and performing unit testing.

The position requires 3+ years of software engineering experience and a BS in Engineering or Computer Science or equivalent. Competitive salary and opportunities to work with data modeling and various technologies are offered.

Qualifications

  • 3+ years of software engineering experience.
  • BS Engineering/Computer Science or equivalent experience required.

Responsibilities

  • Interface with other technical personnel or team members to finalize requirements.
  • Write and review portions of detailed specifications for the development of system components of moderate complexity.
  • Work closely with other development team members to translate moderately complex product requirements into software designs.
  • Successfully implement development processes, coding best practices, and code reviews.
  • Operate in Agile and Waterfall environments while collaborating with key stakeholders.
  • Resolve technical issues as necessary and keep abreast of new technology developments.

Skills

Software engineering
Data modeling
Java/J2EE
JavaScript
C/C++
HTML
XML
SQL
Agile/Waterfall
Code reviews

Education

BS in Engineering/Computer Science or equivalent

Tools

Windows
UNIX

Job description

LexisNexis Risk Solutions seeks a Software Engineer in the United States to contribute to design, coding, and testing within a specific product area. The role focuses on solving moderately difficult problems, designing program flow, and performing unit testing.

The position requires 3+ years of software engineering experience and a BS in Engineering or Computer Science or equivalent. Competitive salary and opportunities to work with data modeling and various technologies are offered.

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