Quantum World Technologies Inc.
Splunk Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Splunk Engineer in Atlanta, GA, on a long-term contract with a pay rate of "unknown". Requires 5+ years of Splunk experience, expertise in log ingestion methods, Azure Log Analytics, GCP Cloud Logging, and familiarity with monitoring best practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 3, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Azure #Splunk #Normalization #Cloud #Azure Log Analytics #Observability #Monitoring #GCP (Google Cloud Platform) #Logging
Role description
Position: Splunk Lead Engineer
Location: Atlanta, GA – Onsite
Long-Term Contract
Role Summary:
Responsible for designing, implementing, and validating log ingestion pipelines from Azure Log Analytics and GCP Cloud Logging into Splunk Cloud.
Leads parsing, normalization, dashboard enablement, and cutover to production.
Required Skills & Experience:
• 5+ years of experience with Splunk Enterprise / Splunk Cloud engineering.
• Strong expertise in Splunk ingestion methods (HEC, UF/HF, APIs, connectors).
• Hands-on experience with log parsing, regex, field extractions, and CIM mappings.
• Knowledge of Azure Log Analytics and GCP Cloud Logging export mechanisms.
• Experience with data validation and troubleshooting ingestion pipelines.
• Familiarity with monitoring/observability best practices.
Key Responsibilities:
• Design and implement log ingestion pipelines from Azure Log Analytics and GCP Cloud Logging to Splunk Cloud using HEC, forwarders, or other Splunk-supported methods.
• Configure Splunk inputs, indexes, parsing, and field extractions.
• Normalize logs to align with Splunk Common Information Model (CIM) where required.
• Validate log completeness, latency, and integrity during ingestion.
• Support dashboard and alert developers by providing properly indexed data.
• Lead parallel run validation and final cutover.
• Document solution architecture, configurations, and operational handover.
Best Regards,
Prashant Kumar
Email - prashant@quantumworldit.com
Position: Splunk Lead Engineer
Location: Atlanta, GA – Onsite
Long-Term Contract
Role Summary:
Responsible for designing, implementing, and validating log ingestion pipelines from Azure Log Analytics and GCP Cloud Logging into Splunk Cloud.
Leads parsing, normalization, dashboard enablement, and cutover to production.
Required Skills & Experience:
• 5+ years of experience with Splunk Enterprise / Splunk Cloud engineering.
• Strong expertise in Splunk ingestion methods (HEC, UF/HF, APIs, connectors).
• Hands-on experience with log parsing, regex, field extractions, and CIM mappings.
• Knowledge of Azure Log Analytics and GCP Cloud Logging export mechanisms.
• Experience with data validation and troubleshooting ingestion pipelines.
• Familiarity with monitoring/observability best practices.
Key Responsibilities:
• Design and implement log ingestion pipelines from Azure Log Analytics and GCP Cloud Logging to Splunk Cloud using HEC, forwarders, or other Splunk-supported methods.
• Configure Splunk inputs, indexes, parsing, and field extractions.
• Normalize logs to align with Splunk Common Information Model (CIM) where required.
• Validate log completeness, latency, and integrity during ingestion.
• Support dashboard and alert developers by providing properly indexed data.
• Lead parallel run validation and final cutover.
• Document solution architecture, configurations, and operational handover.
Best Regards,
Prashant Kumar
Email - prashant@quantumworldit.com
