Software Engineer III

relx

Miamisburg (OH)

On-site

USD 79,000 - 131,000

Full time

6 days ago
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Benefits offered by this job

Annual incentive bonus
Country-specific benefits

Job summary

LexisNexis Risk Solutions is seeking a Software Engineer to contribute to research, design, development, and testing of software components for government-focused projects. You will collaborate with cross-functional teams to translate requirements into scalable solutions and help deliver high-quality products.

The role requires 3+ years of software engineering experience, BS in engineering/computer science, and strong skills in data manipulation, data modeling, and development methodologies such

Qualifications

  • 3+ years of Software Engineering experience
  • BS Engineering/Computer Science or equivalent experience
  • Proficiency with data manipulation languages.
  • Knowledge of data modeling and data science principles.
  • Ability to work with very large data and complex data models.
  • Understanding of software development methodologies (Agile, Waterfall).
  • Good oral and written communication skills.

Responsibilities

  • Collaborate to design, develop, and test software components.
  • Translate requirements into software solutions and contribute to documentation.
  • Work with team to implement development processes and code reviews.
  • Address technical issues and stay updated on new technologies.
  • Support analysts and deliver high-quality products for government clients.

Skills

Software engineering experience
Data manipulation languages
Strong communication skills
Agile & Waterfall knowledge

Education

BS in Engineering/Computer Science

Tools

Java/J2EE
JavaScript
JSP
C/C++
HTML
XML
SQL
Windows
UNIX
.Net

Job description

Are you passionate about building scalable software solutions that help government agencies make informed decisions from complex data?

Do you enjoy solving technical challenges, working with large data sets, and collaborating with teams to deliver impactful technology solutions?

About the Business

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Government vertical, our solutions assist government agencies and law enforcement to drive insights from complex data sets, improving operation efficiency, increasing program integrity, discovering, and recovering revenue, and making timely and informed decisions to enhance investigations. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/government

About our Team

You'll be part of a team of engineers working closely together on sophisticated web applications, backend systems, data research, and data transformations. We do extensive research into LexisNexis public records data. We build and deploy systems to a diverse set of on prem and cloud based environments. We work as a team to solve problems, support our analysts, and provide critical services to our government clients.

About the Role

As a Software Engineer, you will contribute to the research, design, development, and testing of software components within a defined product area. You will collaborate with technical teams and stakeholders to transform requirements into effective software solutions, support continuous improvement, and help deliver high-quality products that solve complex business challenges.

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 understand moderately complex product requirements and translate them into software designs.
  • Successfully implement development processes, coding best practices, and code reviews.
  • Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
  • Resolve technical issues as necessary.
  • Keep abreast of new technology developments.
  • Complete bug fixes and all other duties as assigned.
Requirements
  • Security Clearance: No active clearance required. Must be eligible for TS/SCI.
  • Minimum 3+ years of Software Engineering experience
  • BS Engineering/Computer Science or equivalent experience required
  • Proficiency with data manipulation languages.
  • Understanding of data modeling and data science principles.
  • Ability to work with very large data and complex data models.
  • Proficiency in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, and .Net.
  • Familiarity of industry best practices - code coverage.
  • Ability to work well with internal and external technology resources.
  • Ability to write and review portions of detailed specifications for the development of system components of moderate complexity.
  • Knowledge of software development methodologies (e.g., Agile, Waterfall).
  • Knowledge of data manipulation languages, data storage subsystems and test-driven development.
  • Ability to complete moderately complex bug fixes.
  • Good oral and written communication skills.
Benefits
  • We know your well-being and happiness are key to a long and successful career.
  • We are delighted to offer country specific benefits.
  • This job is eligible for an annual incentive bonus.

We are committed to providing a fair and accessible hiring process.

Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000

Equal Opportunity

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 .

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.

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