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Splunk Engineer Jobs in Fremont, CA (NOW HIRING)

Pyramid IT

Splunk Developer

San Jose, CA · On-site

SPLUNK> coding * Object oriented programming skill * Good to have: SPLUNK> Configuration * Unix/Linux OS skill * Shell, Perl Scripting * DB Concepts / SQL Queries * Good communication * Team player

Info Way Solutions

FSEngineer

Fremont, CA · On-site

Splunk is a rapidly evolving company committed to transforming information utilization for business decisions. They are seeking a Forward Deployed Software Engineer to enhance serverless demo ...

TEKsystems

Data Engineer, Splunk & Snowflake

Sunnyvale, CA · On-site

$75 - $80/hr

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Deep experience with Splunk, including data handling, building dashboards, and developing ETL processes to move ...

Redolent, Inc.

Lead SRE Engineer

San Leandro, CA · On-site

$63 - $83.75/hr

Lead SRE Engineer San Leandro, CA 6 to 12+ Months Only USC & GC * Min 15+ years of experience in ... Hands-on Splunk Dashboards and Alert setup * Familiarity with SPLOC and Splunk OTEL * Used Splunk ...

Inficare Technologies

SRE Lead

Pleasanton, CA · On-site

$63.25 - $84.25/hr

Job Title: SRE Lead Location: Pleasanton, CA (5 Days Onsite) Job Type: Full Time Job Overview Key ... Build and maintain Splunk APM and Splunk Cloud dashboards, alerts, and runbooks * Implement ...

Info Way Solutions

SRE

Fremont, CA · On-site

$62.50 - $83.25/hr

Responsibilities : • Hands on with Java/Python, NoSQL, CI/CD, Azure/GCP • Hands on with AppDynamics, Splunk, New Relic • Proficient in Automation toolsets, Infra as a Code • SRE Certification ...

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Splunk Engineer information

See Fremont, CA salary details

$79.2K

$141.4K

$197.5K

How much do splunk engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for splunk engineer in Fremont, CA is $141,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,640.00 and $161,885.00 per year, depending on experience, location, and employer.

What is a Splunk Engineer?

A Splunk Engineer is an IT professional who specializes in deploying, configuring, and managing Splunk software for data analysis and monitoring. They are responsible for setting up data ingestion pipelines, creating dashboards, and developing alerts to help organizations monitor their systems and security. Splunk Engineers often work with large datasets to extract meaningful insights, support troubleshooting, and ensure system health. Their expertise is essential for leveraging Splunk’s capabilities in IT operations, security, and compliance.

What are the key skills and qualifications needed to thrive as a Splunk Engineer?

To thrive as a Splunk Engineer, you need expertise in data analysis, log management, and scripting languages like Python or Bash, often backed by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk Cloud, and certifications such as Splunk Certified Power User or Splunk Certified Admin are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you stand out in this position. These skills are crucial for efficiently managing complex data environments, delivering actionable insights, and supporting organizational security and operations.

What are some common challenges Splunk Engineers face when managing large-scale log data environments?

Splunk Engineers working with large-scale log data environments often encounter challenges related to data ingestion bottlenecks, maintaining indexer performance, and ensuring efficient search query execution. Balancing storage management with retention policies and optimizing dashboards for real-time analysis can also be complex. Successful engineers proactively collaborate with IT, security, and development teams to fine-tune data sources, streamline parsing, and implement best practices for scalability, ensuring that Splunk delivers timely and actionable insights.

What is the difference between Splunk Engineer vs Data Analyst?

AspectSplunk EngineerData Analyst
Required CredentialsSplunk certifications, technical degreesStatistics, data analysis certifications, degrees
Work EnvironmentIT/security teams, tech-focused companiesBusiness, marketing, finance departments
Employer & Industry UsageTech, cybersecurity, enterprise ITFinance, healthcare, retail, marketing

Splunk Engineers focus on deploying, configuring, and maintaining Splunk platforms for data monitoring and security. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Splunk Engineers specialize in technical implementation of Splunk tools, whereas Data Analysts focus on analyzing data to inform strategies.

Is Splunk a good place to work?

Splunk engineers typically work in a technology-focused environment that emphasizes data analysis, security, and system monitoring. The company offers opportunities for skill development with tools like Splunk Enterprise and often provides a collaborative workplace culture. Job satisfaction can vary based on individual roles and team dynamics.

Is Splunk in high demand?

Splunk engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Organizations seek professionals skilled in Splunk, often requiring knowledge of scripting, dashboards, and certifications, leading to strong job growth in this field.

What is a Splunk engineer's salary?

A Splunk engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data analysis and security can earn higher compensation, often exceeding $150,000.

What are popular job titles related to Splunk Engineer jobs in Fremont, CA?

For Splunk Engineer jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Splunk Engineer jobs in Fremont, CA look for?

The top searched job categories for Splunk Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Splunk Engineer jobs?

Cities near Fremont, CA with the most Splunk Engineer job openings:

Splunk Engineer jobs near you
Infographic showing various Splunk Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $141,418 per year, or $68 per hour.

SPLUNK engineering consultant

Machine Intelligence Technologies, LLC

San Jose, CA • On-site

$110 - $170/hr

Other

Posted 3 days ago

New

Key responsibilities

  • Support search performance, data reliability, usability, and governance practices to ensure Splunk environment aligns with security, compliance, and analytics requirements.

  • Improve search speed and efficiency, implement caching and tuning, and enhance workflows for analysts to pivot and reuse results.

  • Review and rationalize knowledge objects, implement monitoring for schema changes, and define governance and lifecycle controls for detection artifacts.

Job description

Role Overview

We are seeking an experienced Splunk engineer to help stabilize, optimize, and improve our Splunk environment.This role will support search performance, data reliability, usability, and governance practices to ensure Splunk aligns to our security, compliance, and analytics requirements.The ideal candidate combines deep Splunk platform expertise with hands-on engineering experience in search optimization, pipeline reliability, knowledge object hygiene, and security-focused data workflows.

Key Responsibilities Search & Performance Optimization
  • Improve speed and efficiency of searches across large datasets.
  • Implement caching, tuning, and search-hygiene practices to reduce redundant or costly searches.
  • Enhance workflows so analysts can pivot and reuse results without re-running full searches.
Data Integration & Reliability
  • Strengthen stability and reliability of Splunk data pipelines for exports and integrations.
  • Support real-time or near-real-time data flows where applicable.
  • Improve resiliency of indexing, clustering, and correlation workloads.
Governance & Lifecycle Management
  • Review and rationalize existing knowledge objects (saved searches, lookups, dashboards).
  • Implement monitoring to track field drift, schema changes, or configuration defects that affect detections.
  • Define lightweight governance and lifecycle controls for knowledge objects and detection artifacts.
  • Support alignment with broader data governance policies, including access models, retention, and auditability.
Advanced Capabilities & Usability
  • Enable notebook-style investigative analysis for collaboration and reproducibility.
  • Assist data transformation and ML/AI-driven analytics enhancements where practical.
  • Provide guidance on detection-as-code best practices and CI/CD integration for security detection workloads.
Required Skills & Experience
  • Strong hands-on experience with Splunk Enterprise / Enterprise Security administration and engineering.
  • Expert level capability in SPL tuning, indexing strategy, search optimization, and performance troubleshooting.
  • Proven experience with data pipeline reliability and ingestion stabilization.
  • Familiarity with Splunk governance principles (knowledge object hygiene, schema evolution, retention/access practices).
  • Proficiency in Python or scripting for automation and advanced handling.
Preferred Skills
  • Experience with security detection engineering or detection-as-code frameworks.
  • Background in ML/AI features within Splunk or adjacent systems.
  • Understanding of compliance frameworks and their implications on Splunk governance.

MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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