Data Engineer Apache SOLR
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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 engineeringStrong SQL, ETL, and data modeling experienceExperience with Linux, APIs, and distributed systemsFamiliarity with Hadoop/Spark/NoSQL a plusAbility to work on site in Baltimore, MD Required SkillsHands on Apache Solr/SolrCloud engineeringStrong SQL, ETL, and data modeling experienceExperience with Linux, APIs, and distributed systemsFamiliarity with Hadoop/Spark/NoSQL a plusAbility 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.