Data Engineer Apache SOLR

Seeking an experienced Apache Solr Engineer with strong data engineering and enterprise search experience to support a mission critical federal data warehouse environment. About the Role The engineer will design, optimize, and maintain Solr indexing pipelines, integrate structured/unstructured data sources, and ensure high performance search capabilities across large federal datasets. Responsibilities • Solr index design, schema management, tuning, and query optimization • Build and maintain ETL/ELT pipelines feeding Solr and downstream data warehouse systems • Implement search relevancy, faceting, clustering, and distributed indexing • Manage SolrCloud clusters, Zookeeper coordination, and high availability configurations • Collaborate with data architects, developers, and federal stakeholders to support search driven applications Qualifications • Hands on Apache Solr/SolrCloud engineering • Strong SQL, ETL, and data modeling experience • Experience with Linux, APIs, and distributed systems • Familiarity with Hadoop/Spark/NoSQL a plus • Ability to work on site in Baltimore, MD Required Skills • Hands on Apache Solr/SolrCloud engineering • Strong SQL, ETL, and data modeling experience • Experience with Linux, APIs, and distributed systems • Familiarity with Hadoop/Spark/NoSQL a plus • Ability to work on site in Baltimore, MD Preferred Skills • Familiarity with Hadoop/Spark/NoSQL a plus Pay range and compensation package Location: Baltimore, MD (100% on site) Clearance: Public Trust or ability to obtain Client: Large federal agency Equal Opportunity Statement We are committed to diversity and inclusivity.