STAFFXPERT LLC

Splunk Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Splunk Engineer on a contract basis, requiring 7+ years of experience, strong SPL expertise, and proficiency in Python, Bash, and PowerShell. The position involves cloud integrations, data ingestion, and dashboard development in complex IT environments.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
February 5, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Unknown
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Monitoring #Scripting #AI (Artificial Intelligence) #Azure Function Apps #Automation #Indexing #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Python #AWS Lambda #Bash #Security #Azure #Cloud #Splunk #Data Ingestion #Visualization
Role description
Splunk Engineer (Contract) Work Type: Contract Overview We are seeking an experienced Splunk Engineer to support enterprise log management, analytics, and security monitoring initiatives. The ideal candidate will have strong hands-on expertise with Splunk SPL, data ingestion, dashboards, and cloud integrations in complex IT environments. Responsibilities β€’ Develop and optimize advanced SPL queries for analytics, monitoring, and security use cases. β€’ Manage data ingestion and indexing from cloud platforms, servers, applications, and endpoints. β€’ Configure and maintain Splunk forwarders and data inputs. β€’ Design and deliver dashboards, reports, and visualizations for technical and business stakeholders. β€’ Automate processes using Python, Bash, and PowerShell. β€’ Monitor and troubleshoot infrastructure, networking, and security systems. β€’ Support self-hosted and Splunk GovCloud environments. β€’ Integrate Splunk with platforms such as ServiceNow, Archer, Azure, and AWS. β€’ Manage data forwarding using Syslog-NG, Cribl, AWS Lambda, and Azure Function Apps. Qualifications β€’ Strong hands-on experience with Splunk Search Processing Language (SPL). β€’ Proven experience with data ingestion, forwarder management, and dashboard development. β€’ Proficiency in scripting and automation (Python, Bash, PowerShell). β€’ Solid understanding of IT infrastructure, networking, and security concepts. β€’ Bachelor’s degree with 7+ years of relevant experience, or Master’s degree with 5+ years. Preferred Skills β€’ Experience with Splunk AI Toolkit (AITK / MLTK). β€’ Knowledge of Splunk MCP Server. β€’ Exposure to monitoring AI/LLM-based application stacks. β€’ Familiarity with cloud-native and serverless integrations.