Elastic Search Engineer with Security Clearance

Kforce Federal Solutions
Reston, Virginia 20190 United States  View Map
Posted: May 31, 2026
  • Full Time
  • Federal Government
  • Summary

    ****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 / PySpark
    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
  • Job Description

    ****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 / PySpark
    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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