Remote Kafka Engineer (GTW)

Job Description An aerospace manufacturing employer is seeking an experienced Kafka Engineer to assess their existing Apache Kafka footprint (hosted on Zeta Cloud) and help improve stability, performance, and scalability as they expand Kafka to additional sites. The current team does not have any in-house Kafka expertise which is why this role is so critical. This person will evaluate broker, ZooKeeper/Kraft, and client configurations; diagnose and remediate performance and server issues; and implement best practices for security, resiliency, observability, and capacity planning. A key focus will be integrating KINEXON location‑tracking streams—ingesting real‑time XY coordinate data, transforming it, and delivering it through SQL pipelines into our enterprise data warehouse. Success in this role includes producing an actionable remediation roadmap, standing up or tuning multi‑site deployments (topics, partitions, replication, RBAC), and delivering thorough documentation and as well as knowledge transfer so our internal team can get up to speed with Kafka as well. Ideal candidates have deep Kafka operations and streaming design expertise, experience with KINEXON data flows, strong SQL/data warehousing skills, and a coaching mindset. This resource should be open to exploring new technologies and toolsets especially Azure Event Grid, as there is a possibility of a cutover to this tool and this team would also support that. 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.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Deep hands-on expertise with Apache Kafka operations (broker tuning, partitioning, replication, monitoring, multi-site deployment, and troubleshooting performance/server issues). Experience with KINEXON or similar IoT/location‑tracking data platforms, including parsing real‑time XY coordinate streams and handling high‑volume sensor data. Strong SQL and data pipeline engineering skills, including transforming streaming data and delivering it into a data warehouse environment. Cloud deployment experience (Zeta Cloud preferred) with the ability to assess an existing environment, identify gaps, and implement best‑practice architecture. Excellent documentation and knowledge‑transfer capability, with the ability to upskill an internal team and deliver clear runbooks, configs, and support guidelines.