Job Description
The engineer owns backend components that support capabilities across the sourcing organization. This includes building foundational platforms used by multiple downstream teams rather than single features. The engineer contributes to technical roadmaps, platform evolution, and architectural direction while maintaining strong code quality and testing standards. The role also includes mentoring through collaboration, technical discussion, and example. Success requires operating effectively in a fast‑changing environment with high context and minimal day‑to‑day direction. This role involves building and maintaining Java-based services that support the sourcing platform while working closely with data science workflows, including analyzing data and handling model inputs and outputs. The position requires querying and analyzing large datasets to inform both machine learning initiatives and broader business decisions, as well as translating those data insights into meaningful system-level improvements. Additionally, the role contributes to dashboards and visualizations, helping interpret and communicate model outputs effectively.
Compensation:
$22/hr to $26/hr. USD
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
-Software experience with extensive experience with technology such as Java (versions 11 or greater) HTML, Prometheus, Quarkus, C*, Cassandra, Spring Boot, CSS, and Javascript/Typescript frameworks, an object-oriented programming language (preferably Java), Relational or noSQL database technology, cloud computing techniques, CI/CD tools, modern software design patterns
- Understanding of data analysis concepts (statistics, data interpretation)
- Experience in cloud-based technologies and deployments – Google Cloud Platform (preferred), AWS or Azure
- Experience in effective data modeling with both Relational and NoSQL databases
- Experience with security frameworks for user and services authorization and authentication
- Experience with creating and executing unit, functional, destructive and performance tests
- Experience with modern debugging and root cause analysis techniques
- Experience with version control system
- Experience in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security
- Exposure to developing technical roadmaps including work estimation, refactoring and modernizing legacy systems
Nice to Have Skills & Experience
• Experience with data visualization tools (Tableau specifically mentioned)
• Exposure to data science tools/languages (Python, R)
• Understanding of basic machine learning concepts
• Experience working with BigQuery or similar data platforms
• Background in analytics or data-heavy environments
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.