Cybersecurity data engineer

Configure and optimize data ingestion, storage, and retrieval within the Elastic ecosystem (Elasticsearch, Logstash, Kibana, Fleet) to enable high-volume, high-availability operations. Design, maintain, and optimize scalable cybersecurity ETL pipelines using the Elastic suite of tools. Develop transformations and enrichments for diverse security log and telemetry sources. Maintain index templates, mappings, schemas, and data models supporting analytics and detection logic. Implement data validation, deduplication, and quality controls to ensure data integrity. Automate ingestion, transformation, and engineering workflows using Python, Bash, and related tools. Monitor pipeline and indexing performance, troubleshoot data-flow issues, and optimize throughput, storage, and query performance. Maintain traceability and troubleshoot dependencies across Kafka, Elastic, and CI/CD tooling. Partner with Detection Engineering, Threat Analysis, Endpoint, and other cyber teams to support operational requirements. Maintain technical documentation, SOPs, and engineering artifacts

Nice to have:
Experience with Kafka, Python/Bash automation, CI/CD, or DevSecOps practices.
Experience working with Ruby.
Experience supporting AWS, Azure, GCP, Oracle Cloud, hybrid-cloud, or multi-cloud environments.
Knowledge of cybersecurity operations, including SIEM, threat detection, incident response, and security monitoring.