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Elastic Search Engineer Security Clearance
Job in
Reston, Fairfax County, Virginia, 20190, USA
Listed on 2026-06-03
Listing for:
Kforce Federal Solutions
Full Time
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
**** This position is onsite in Huntsville, Alabama at Redstone Arsenal
**** Hiring:
Elasticsearch / Search-Focused Engineer or Data Scientist (Cleared)
We’re looking for someone with a strong background building Elasticsearch-backed search systems and scalable data pipelines in production environments.
Location:
Huntsville, AL (Redstone Arsenal)
Supports: FBI Program
Clearance:
Top Secret Minimum If you’ve designed search platforms that support large, unstructured datasets and real-world mission use cases, this one’s for you. ✅ Core Skills We’re Targeting
Search & Data Platforms
Elasticsearch (indexing, querying, relevance tuning, access controls)
Search across unstructured data (text, images, video, documents)
High-volume data ingestion and retrieval pipelines
API-driven search services
Backend & Data Engineering
Python (production-grade services)
SQL
FastAPI / Flask
Data ingestion, ETL, and pipeline orchestration
Dockerized applications
Linux (Ubuntu), Bash, CLI tools
Git-based workflows
ML / Analytics (Applied, Not Academic)
NLP pipelines (topic modeling, sentiment analysis, entity extraction)
Search + ML integration (ranking, enrichment, retrieval augmentation)
Experience supporting downstream analytics and dashboards
Familiarity with vector search / embeddings a plus
Cloud & Enterprise Tools
AWS and/or Azure
Databricks / Spark / Py Spark
CI/CD fundamentals
Monitoring, logging, and performance optimization Nice-to-Have / Bonus
Experience in DoD, IC, or austere environments
Building search for shared drives or large document repositories
Handling image / video / text data in a unified search platform
Prior work with Palantir, Foundry, or similar platforms What This Role Feels Like
Designing and owning Elasticsearch implementations, not just querying them
Turning messy, real-world data into fast, usable search products
Working closely with analysts, engineers, and stakeholders
Building systems that actually get used
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