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# Streaming Data Engineer

- **Company:** Bright Vision Technologies
- **Location:** Artesia, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $78,000.0 - $105,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Computing, Code Review, Data Governance, DevOps, Python (Programming Language), Role-Based Access Control, Site Reliability Engineering Practices, Ansible, Software Engineering, Data Streaming, Datadog, Scripting, Kubernetes, Information Technology, Apache Flink, Apache Kafka, Spark Streaming, Terraform, Stream Processing, Confluent
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/streaming-data-engineer-ca--2d1aec18-fedc-4c35-98a4-925d70ac16d4

## About the Role

EAD, DevOps, Automation, Code Reviews, Artificial Intelligence (AI), Software Development, Communication Skills, Cloud Computing, Mentoring, Apache Kafka, * Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

 * Five or more years of experience operating Apache Kafka or Confluent Platform in production.
 * Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).
 * Strong experience with Kafka security (SASL, mTLS, ACLs, RBAC).
 * Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
 * Experience with HA/DR strategies for Kafka.
 * Strong scripting skills in Python, Bash, or Go.
 * Hands-on experience with infrastructure-as-code (Terraform, Ansible).
 * Working knowledge of observability tooling for Kafka.
 * Excellent troubleshooting, communication, and documentation skills.

Preferred Qualifications

 * Confluent Certified Administrator or Developer credentials.
 * Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator).
 * Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API).
 * Familiarity with stream processing frameworks (Flink, Spark Streaming).
 * Experience with data governance and lineage for streaming data.

## Description

automation, observability, and developer enablement. The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. In this role you will work closely with cross-functional partners - product, design, engineering, operations, and business stakeholders - to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.Required Qualifications