Data Engineer (DevOps)

Job Description Insight Global is looking for a Sr. Data Engineer (DevOps) to work 4 days on-site in Santa Clara, CA for a fast-growing technology company specializing in secure networking solutionsu2014including SD-WAN, SASE, and SSEu2014that is helping global enterprises modernize their IT infrastructure for the cloud era. Led by industry veterans and backed by top-tier investors, the company is focused on innovation, scalability, and preparing for a future IPO. The Data DevOps Engineer will join the Machine Learning and AI team to build and maintain scalable data infrastructure supporting intelligent systems and analytics. This role involves close collaboration with DevOps, Data Science, and Software Engineering teams. u2003u2022 Design, build, and maintain robust data pipelines for ML/AI products. u2003u2022 Integrate infrastructure automation and deployment workflows with DevOps teams. u2003u2022 Implement new features and optimize data flow in collaboration with Data Scientists and Engineers. u2003u2022 Enhance monitoring, logging, and debugging capabilities across data systems. Ensure scalability, reliability, and performance of data infrastructure. Salary Range - $180,000 - $220,000 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022 8+ years of experience in Data Engineering, DevOps, or related fields. u2003u2022 Experience setting up and managing multitenant Apache Spark and Kafka clusters. u2003u2022 Proficiency with infrastructure automation tools such as Jenkins, Ansible, Terraform, or similar. u2003u2022 Strong programming skills in Python, Scala, or Java. u2003u2022 Expertise in processing, cleaning, managing, and analyzing large-scale datasets. u2003u2022 Familiarity with database technologies and the ability to choose between NoSQL, SQL, and cloud-based solutions based on use case. u2003u2022 Ability to manage multiple projects simultaneously and collaborate effectively in a team environment. Strong problem-solving and communication skills.

Created: 2025-10-04