Job Description
• Design, build, and maintain backend services and platform components for a modern data architecture
• Build integrations with internal and external data sources, APIs, and event streams
• Partner with data engineering, analytics, and product managers to define scalable data models and platform capabilities
• Improve reliability, observability, and performance of data workflows and backend services
• Implement best practices for testing, monitoring, logging, and deployment
• Contribute to architecture decisions around storage, orchestration, metadata management, and access patterns
• Help establish engineering standards for code quality, documentation, CI/CD, and operational excellence
• Troubleshoot and debug production systems
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
• 5+ years of professional software engineering experience, with strong backend development skills
• Strong proficiency in Python
• Experience building backend systems, APIs, or distributed services in production environments
• PostgreSQL and Elasticsearch proficiency
• Familiarity with AWS, especially S3, RDS, and other data centric services
• Current/active TS/SCI with a current CI polygraph or be willing and able to obtain a CI polygraph.
• Bachelor's degree in a related field, e.g. Computer Science, Systems Engineering or equivalent experience
• Understanding of software engineering fundamentals including testing, version control, CI/CD, and system design
• Tenacious troubleshooting, problem solving and error fixing mentality
• Strong communication and collaboration skills, ability to work, collaborate and thrive on a small technical team.
Preferred Qualifications:
• Experience working with data platforms, data pipelines, ETL/ELT workflows, or large-scale data processing systems
• Gitlab and Gitlab CI experience
• Openshift and Helm experience
• Docker and containerization experience
• DoD 8570 IAT II and Privileged User Access requirements met (Security+, CySA+, CCNA Security, GICSP, GSEC, SSCP)
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.