Skills

Python Data Governance Splunk CI/CD Analytics

Job Specifications

Splunk ES Engineer / Admin (Data Engineer)

Location: San Jose, CA (Hybrid - 3 days per week onsite)

Contract Duration: 5 months

Hours: Full-time (40 hours/week)

Max Rate: $99.13 USD/hour

Work Authorization: W2 only - No H-1B or Sub-contracting

Role Overview

We are seeking an experienced Splunk expert to join on a short-term contract and help stabilize, optimize, and enhance our Splunk environment. The focus will be on performance optimization, data reliability, integrations, usability, and governance -- ensuring Splunk effectively supports our security, compliance, and analytics needs.

Key Responsibilities

Search & Performance Optimization

Enhance search speed and efficiency across large datasets.
Implement caching, tuning, and best practices to minimize redundant or expensive searches.
Improve workflows so analysts can reuse or pivot results efficiently.

Data Integration & Reliability

Strengthen the reliability of Splunk data pipelines for exports and integrations.
Support real-time or near-real-time data flows.
Improve stability of indexing, clustering, and correlation searches.

Governance & Lifecycle Management

Review and rationalize knowledge objects (saved searches, lookups, dashboards).
Monitor field drift and schema changes impacting detections.
Define governance processes for detection lifecycle, versioning, and validation.
Align Splunk governance with enterprise data policies (access, retention, auditability).

Advanced Capabilities & Usability

Enable notebook-style investigation support for collaboration and reproducibility.
Explore inline data transformation and ML/AI-driven capabilities.
Provide guidance on best practices for detection-as-code and CI/CD integrations.

Required Skills & Experience

9-12 years of overall experience.
Strong hands-on experience with Splunk Enterprise / Enterprise Security administration and development.
Expertise in SPL optimization, indexing, and performance tuning.
Experience with data integration and pipeline reliability.
Familiarity with data governance practices (knowledge object hygiene, schema evolution, access & retention policies).
Proficiency in Python or scripting for automation and advanced data handling.

Nice-to-Have Skills

Experience in detection engineering and detection-as-code frameworks.
Background in ML/AI capabilities within Splunk or adjacent tools.
Understanding of compliance frameworks and their impact on Splunk governance.

About the Company

For over 20 years, Digitech has specialized in flexible IT staffing solutions that help businesses scale efficiently and build high-performing teams. With talent across the U.S. and Latin America, we offer key advantages: cultural affinity and time zone alignment that enhance collaboration, communication, and project delivery. Know more