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Elasticsearch is a distributed search and analytics engine that enables full-text search, log analytics, and real-time data exploration at scale. Built on Apache Lucene, it powers search functionality for thousands of applications and serves as the foundation of the ELK (Elasticsearch, Logstash, Kibana) stack for observability. Companies hire Elasticsearch engineers for implementing search functionality, building log aggregation and monitoring systems, designing data analytics pipelines, and optimizing query performance. Elasticsearch engineers work with index mapping, query DSL, aggregations, cluster management, and integration with Kibana for visualization. The platform handles diverse workloads from product search to security analytics. Elasticsearch engineer salaries range from $105k to $175k+ with search architects and observability engineers commanding premium compensation. OpenSearch provides an open-source alternative with growing adoption. The ability to search and analyze large volumes of data in real-time makes Elasticsearch critical for modern applications. LeetHire connects Elasticsearch engineers with companies building search and analytics platforms through anonymous hiring.
Elasticsearch powers full-text search (product search, site search), log analytics and monitoring (ELK stack), security analytics (SIEM), business analytics, and real-time data exploration. It excels at searching and analyzing large datasets.
The basics of indexing and searching are straightforward. However, designing optimal mappings, writing efficient queries, and managing clusters at scale requires deep expertise. Understanding text analysis and relevance scoring takes time.
Elasticsearch engineers earn $105k to $175k+ annually. Search architects designing multi-cluster deployments earn $130k-$185k+. Observability engineers building ELK-based monitoring platforms earn $115k-$170k+.