Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from TechPerm Incorporated via LinkedIn
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.