

Splunk Engineer (Splunk & Cribl) (only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Splunk Engineer (Splunk & Cribl) on a 6-month W2 contract, remote. Key skills include SPL, RegEx, Python, and experience with Splunk Enterprise. Requires 4–6 years in observability/log management; AWS and Linux knowledge preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 17, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Terraform #Monitoring #Scripting #Azure #Observability #Python #Data Pipeline #Licensing #Cloud #Security #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Splunk #Logging #Compliance #Linux
Role description
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Splunk Engineer (Splunk & Cribl)
Remote
6 Months (Potential to Extend)
About the Role:
We are seeking an Observability Engineer to manage and support our logging and monitoring platforms, including Splunk and Cribl. This role focuses on data pipeline engineering, log onboarding, and infrastructure maintenance to support Security, Compliance, and SRE initiatives.
Key Responsibilities:
· Create/modify dashboards, reports, and alerts in Splunk.
· Extract fields using SPL and RegEx.
· Onboard logs via DB, APIs, and scripting.
· Install and upgrade Splunk apps and infrastructure.
· Plan for capacity, software currency, and future expansion.
· Interface with IT Infra, InfoSec, and App Dev teams.
· Maintain usage within licensing entitlements.
· Respond to incidents and requests within SLA.
· Ensure platform security and compliance posture.
Required Skills:
1\. Strong expertise in SPL, RegEx, and Python
2\. Hands-on experience with Splunk Enterprise and Splunk Cloud
3\. Linux system administration and AWS familiarity
Preferred:
· Experience with Cribl, Terraform, and Azure
· Bachelor’s degree in a quantitative or business field
· 4–6 years of relevant experience in observability or log management
Performance Expectations:
· SLA adherence for incidents/requests
· Timely platform upgrades to mitigate vulnerabilities
• · Efficient license and resource usage