Software Engineer - Data Analytics & Full Stack (Hybrid)
THE JUDGE GROUP, INC.
Irving, United States of America
4 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 119KJob location
Irving, United States of America
Tech stack
.NET
Business Analytics Applications
Data analysis
Power BI
Software Engineering
Web Application Frameworks
Angular
Data Analytics
ServiceNow
Job description
In this contingent assignment, you will contribute to moderately complex software engineering initiatives, with a strong focus on data analytics and full-stack development. You'll work in a collaborative, agile environment, partnering with stakeholders to deliver scalable, data-driven solutions across multiple platforms. Responsibilities
- Consult on and contribute to moderately complex software engineering initiatives and deliverables.
- Analyze and solve software engineering challenges that require evaluation of multiple variables and technical approaches.
- Design, develop, and maintain analytics solutions across platforms such as ServiceNow Platform Analytics and Power BI.
- Build and support full-stack applications using modern frameworks and technologies (e.g., .NET, Angular).
- Collaborate with cross-functional teams, including business and technical stakeholders, to define requirements through user stories.
- Participate in agile ceremonies and deliver work aligned with sprint schedules and team commitments.
- Apply a solid understanding of software engineering standards, policies, procedures, and compliance requirements.
Requirements
- 4+ years of software engineering experience, or equivalent demonstrated through work experience, consulting, training, military experience, or education.
- Strong data analytics experience across multiple platforms (e.g., ServiceNow Platform Analytics, Power BI).
- Full-stack development experience with technologies such as .NET and/or Angular.
- Experience working in agile environments with sprint-based delivery and user-story-driven requirements.
Preferred Qualifications
- Experience supporting enterprise-scale applications or analytics solutions.
- Strong problem-solving skills and the ability to work across multiple systems and teams.