Blue Fish Technologies
Splunk Admin/Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Splunk Admin/Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires 5+ years of Splunk experience, AWS knowledge, and relevant certifications. Work location is on-site in Richmond, VA, or Plano, TX.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 13, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#Data Governance #Cloud #Clustering #IAM (Identity and Access Management) #REST API #S3 (Amazon Simple Storage Service) #Normalization #Scripting #Computer Science #Shell Scripting #Observability #Strategy #Data Ingestion #EC2 #Logging #AWS (Amazon Web Services) #DevOps #Containers #Indexing #Splunk #Linux #Python #Security #Monitoring #Lambda (AWS Lambda) #REST (Representational State Transfer) #Macros #API (Application Programming Interface)
Role description
Role: Splunk SME
Location: Richmond/VA, Plano, TX
Position Overview:
We are seeking a highly skilled Senior Splunk Developer with strong AWS cloud knowledge to design, implement, and optimize enterprise-grade observability and monitoring solutions. The ideal candidate will have deep experience in Splunk development, log ingestion, search optimization, and data onboarding from hybrid and cloud-native environments.
Key Responsibilities:
Splunk Architecture & Development
Design, build, and maintain Splunk dashboards, reports, alerts, and data models.
Develop complex SPL (Search Processing Language) queries and macros for advanced analytics.
Integrate logs and metrics from hybrid infrastructures, including servers, containers, and AWS services.
Manage and optimize data onboarding pipelines (HEC, UF/HF, REST API, etc.).
Maintain and tune indexing, clustering, and knowledge objects for performance.
AWS Cloud Integration:
Configure and manage log ingestion from AWS services (CloudWatch, CloudTrail, Lambda, S3, ECS, EKS, etc.).
Develop and automate log pipelines using AWS native tools (Kinesis, Firehose, Glue, Lambda).
Support observability and monitoring across cloud and hybrid workloads.
Operational Excellence:
Collaborate with Security, DevOps, and SRE teams to improve visibility and resilience.
Implement best practices for data governance, indexing strategy, and access control.
Perform root-cause analysis and troubleshooting for data ingestion and dashboard issues.
Support Splunk upgrades, capacity planning, and license management.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
5+ years hands-on experience with Splunk Enterprise or Splunk Cloud (admin + development).
Proficient in SPL, regex, Python, and shell scripting.
Strong understanding of AWS Cloud ecosystem (EC2, S3, CloudWatch, IAM, Lambda, Kinesis, etc.).
Experience with data onboarding, parsing, and normalization in Splunk.
Familiarity with enterprise logging, observability, and SRE practices.
Working knowledge of Linux systems and networking fundamentals.
Splunk certifications: Splunk Certified Power User / Admin / Architect / Developer.
Preferred Qualifications:
AWS certifications: AWS Certified Solutions Architect – Associate/Professional or equivalent.
Role: Splunk SME
Location: Richmond/VA, Plano, TX
Position Overview:
We are seeking a highly skilled Senior Splunk Developer with strong AWS cloud knowledge to design, implement, and optimize enterprise-grade observability and monitoring solutions. The ideal candidate will have deep experience in Splunk development, log ingestion, search optimization, and data onboarding from hybrid and cloud-native environments.
Key Responsibilities:
Splunk Architecture & Development
Design, build, and maintain Splunk dashboards, reports, alerts, and data models.
Develop complex SPL (Search Processing Language) queries and macros for advanced analytics.
Integrate logs and metrics from hybrid infrastructures, including servers, containers, and AWS services.
Manage and optimize data onboarding pipelines (HEC, UF/HF, REST API, etc.).
Maintain and tune indexing, clustering, and knowledge objects for performance.
AWS Cloud Integration:
Configure and manage log ingestion from AWS services (CloudWatch, CloudTrail, Lambda, S3, ECS, EKS, etc.).
Develop and automate log pipelines using AWS native tools (Kinesis, Firehose, Glue, Lambda).
Support observability and monitoring across cloud and hybrid workloads.
Operational Excellence:
Collaborate with Security, DevOps, and SRE teams to improve visibility and resilience.
Implement best practices for data governance, indexing strategy, and access control.
Perform root-cause analysis and troubleshooting for data ingestion and dashboard issues.
Support Splunk upgrades, capacity planning, and license management.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
5+ years hands-on experience with Splunk Enterprise or Splunk Cloud (admin + development).
Proficient in SPL, regex, Python, and shell scripting.
Strong understanding of AWS Cloud ecosystem (EC2, S3, CloudWatch, IAM, Lambda, Kinesis, etc.).
Experience with data onboarding, parsing, and normalization in Splunk.
Familiarity with enterprise logging, observability, and SRE practices.
Working knowledge of Linux systems and networking fundamentals.
Splunk certifications: Splunk Certified Power User / Admin / Architect / Developer.
Preferred Qualifications:
AWS certifications: AWS Certified Solutions Architect – Associate/Professional or equivalent.
