Job Title: Splunk Developer - OPT's are fine Location: Juno Beach, FL Duration: 12 plus months contract with possible extension Experience Required: Minimum 5+ Years Position Overview We are seeking a skilled Splunk Developer with strong experience in Data Warehousing, ETL processes, and Data Analytics to design, develop, and optimize enterprise-grade monitoring and reporting solutions. The ideal candidate will bridge the gap between operational data visibility and business analytics, ensuring actionable insights from complex datasets. Key Responsibilities
Design, configure, and maintain Splunk Enterprise / Splunk Cloud environments.
Develop custom dashboards, alerts, reports, and visualizations using SPL (Search Processing Language).
Integrate Splunk with various data sources, including databases, APIs, log aggregators, and cloud data platforms.
Optimize search performance and data indexing for efficiency and scalability.
Manage user roles, access controls, and data onboarding.
Design and implement ETL pipelines for structured/unstructured data ingestion into Splunk or analytical databases.
Work with data warehouse technologies (Snowflake, Redshift, Azure Synapse, BigQuery, or SQL Server DWH).
Develop data models that support analytics, dashboards, and reporting.
Collaborate with DBAs and Data Engineers to ensure reliable data movement between systems.
Develop and automate data analytics solutions using Splunk, SQL, and visualization tools (Tableau, Power BI, Looker).
Deliver KPI-driven insights, trend analyses, and operational intelligence to business stakeholders.
Correlate Splunk data with enterprise datasets for deeper analytics and anomaly detection.
Collaborate with business users to translate data requirements into Splunk visualizations and analytics models.
Implement best practices for log management, monitoring, and alerting.
Troubleshoot data ingestion, parsing, and search performance issues.
Support compliance, audit, and governance requirements through data visibility and retention policies.
Required Skills & Experience
3–5+ years hands-on experience with Splunk (Enterprise, Cloud, or ITSI).
Proficiency in SPL (Search Processing Language) and Splunk dashboarding (Simple XML, JS, HTML).
Experience integrating Splunk with data lakes, APIs, or custom applications.
Solid understanding of data modeling, star/snowflake schema, and ETL workflows.
Experience with SQL Server Integration Services (SSIS), Informatica, Talend, or Azure Data Factory.
Hands-on experience with SQL (T-SQL, PL/SQL, etc.) for complex queries and optimization.
Strong analytical and problem-solving skills.
Experience with data visualization tools (Power BI, Tableau, Qlik).
Familiarity with machine learning or predictive analytics within Splunk or Python/R is a plus.
Scripting experience in Python, PowerShell, or Bash.
Familiarity with CI/CD pipelines, Git, and DevOps concepts.
Strong understanding of network logs, security events, and operational data.
Preferred Qualifications
Splunk certifications (e.g., Splunk Certified Power User, Splunk Certified Admin, Splunk Certified Developer).
Experience with Cloud Data Platforms (AWS, Azure, or GCP).
Knowledge of Data Governance, Security Monitoring, or SIEM use cases.
Prior experience in enterprise analytics or operational intelligence environments.