Streaming Data Engineer

Role Overview

Join an established technology consulting and software development company as a Streaming Data Engineer. You will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement. Partner with cross-functional teams to deliver a reliable, performant, and developer-friendly streaming platform.

What You Will Do

Architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. Work closely with application teams to deliver a reliable, performant, and developer-friendly streaming platform.

Why It Might Be a Fit

The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices. You will be expected to raise the bar through code review, design review, and mentorship of more junior engineers.

Requirements

• 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.

Benefits

• Salary Range: $100,000–$150,000 Annually