Job Description
• Contribute to the execution of engineering projects, ensuring their successful completion within defined timelines and quality standards.
• Develop and implement engineering solutions, adhering to best practices and leveraging appropriate tools and technologies.
• Conduct thorough testing and quality assurance to ensure the reliability and performance of deliverables.
• Provide technical support and troubleshooting expertise to address issues and challenges encountered during project execution.
• Collaborate effectively with cross-functional teams, including product management, design, and operations, to ensure project alignment and successful outcomes.
• Communicate project progress, risks, and challenges to stakeholders in a clear and timely manner.
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
o Strong “Full Stack” technical skills and proficiency in programming languages (Python, JavaScript/TypeScript, SQL), software development methodologies, and tools.
o Familiarity with AWS or other cloud infrastructure platforms.
Nice to Have Skills & Experience
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with Snowflake.
• Experience within Agile/Scrum delivery practices.
• Previous development work supporting marketing business functions and teams.
• Contribute to the development of scalable ML/AI solutions (predictive models, LLM-based workflows, or automation tools)
• Build and maintain data pipelines and feature engineering workflows to support ML models
• 1-3 years of experience in software engineering or a related technical role.
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.