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.