Role: ELK / Elasticsearch Engineer
Location: McLean, VA
Contract on C2C
Minimum 10+years of experience preferred.
Overview
Looking for a hands-on ELK Engineer to design, implement, and optimize Elasticsearch-based search and analytics solutions. The role requires strong expertise in query tuning, indexing, cluster management, and direct client interaction while independently managing requirements.
Key Responsibilities:
Design, manage, and optimize Elasticsearch clusters
Tune queries, indexing strategies, and performance
Build dashboards using Kibana (Lens, Maps)
Develop data pipelines using Logstash/APIs
Monitor cluster health, set up alerts, and troubleshoot issues.
Required Skills
Strong expertise in ELK Stack (Elasticsearch, Logstash, Kibana)
Experience with query optimization, indexing strategies, and cluster monitoring
Proficiency in Kibana dashboards and visualizations
Knowledge of KQL, aggregations, and time-series data modeling
Hands-on experience with JSON and REST APIs
Background in observability, logging, and monitoring solutions
Basic programming knowledge (Python/Java/Go)
Nice to Have.
AWS/Azure experience
ILM, shard optimization, and scaling
Exposure to Beats / AI integrations.