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# Splunk Data Engineer / Splunk Administrator

- **Company:** Collabera
- **Location:** Richmond, VA, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Big Data, Cloud Computing, Cluster Analysis, Data Infrastructure, Routing, Data Streaming, Cloud Platform System, Data Ingestion, Indexer, Splunk
- **Published:** August 21, 2026
- **Apply:** https://www.collabera.com/submit-resume/

## About the Role

We are hiring an experienced Splunk Data Engineer / Splunk Administrator with strong hands-on experience managing large-scale Splunk environments. The ideal candidate will have expertise in Splunk Enterprise/Cloud administration, clustering, data ingestion, search optimization, SmartStore, and high-volume data environments., o 5-7 years of hands-on experience administering large-scale Splunk Enterprise or Splunk Cloud environments.
o Strong experience with Splunk Indexer Clustering and Search Head Clustering.
o Hands-on experience with Universal Forwarders and Heavy Forwarders.
o Strong knowledge of Splunk SmartStore and S3-compatible object storage.
o Strong proficiency in SPL, search optimization, summary indexing, and Data Model Acceleration.
o Hands-on experience with Cribl for data collection, routing, filtering, and ingestion optimization.
o Experience managing high-volume data ingestion, platform performance, and reliability.
o Experience supporting approximately 500-600 GB/day or higher data volumes.
o Experience managing and supporting multiple large Splunk clusters.
o Strong troubleshooting skills across indexing, searching, ingestion, and overall Splunk platform performance.
o Experience working in large-scale enterprise environments., o Splunk Enterprise Architect Certification.
o Experience in financial services/banking environments.
o Experience supporting very large-scale, high-volume Splunk environments.

## Description

o Troubleshoot Splunk indexing, search, ingestion, clustering, and performance issues.
o Monitor platform health, capacity, data flow, and cluster performance.
o Support multiple enterprise-scale Splunk clusters and large data environments.
o Collaborate with engineering, infrastructure, security, and application teams to maintain a reliable Splunk platform.


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