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Splunk Engineer Jobs in California (NOW HIRING)

SeniorData Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Core skills: * Data Engineering / Streaming Platforms (Kafka, real-time pipelines using scala ... Production Support & Platform Reliability (using Splunk for monitoring, troubleshooting ...

Sr. SRE / DevOps Engineer

Sunnyvale, CA · On-site

$67 - $89/hr

Apache Splunk • Knowledge of Linux operating system principles, networking fundamentals, and ... E • AWS Kubernetes/EKS, Docker • Terraform, Ansible, or CloudFormation • Apache Splunk ...

One of our direct client is urgently looking for a Software Engineer @ Sunnyvale CA TITLE ... and Splunk Agile Scrum Methodologies self-independent and aggressive own and deliver (less ...

Join theAI Modelsteam at Splunk, where we advance the state of AI for highvolume, realtime ... Partner with executive leadership, engineering, product, and data science teams to ensure AI ...

Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an ... Partner with executive leadership, engineering, product, and data science teams to ensure AI ...

Production Support Engineer

Sunnyvale, CA · On-site

$50 - $65.25/hr

Application and Support Engineer LOCAITON: Sunnyvale, CA DURATION: 12+ months RATE: DOE NOTE * Only ... Some experience with Monitoring and alerting tools like Splunk, Prometheus, Grafana

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Showing results 1-20

Splunk Engineer information

What are the key skills and qualifications needed to thrive as a Splunk Engineer, and why are they important?

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.

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 most commonly searched types of Splunk Engineer jobs in California? The most popular types of Splunk Engineer jobs in California are:
What job categories do people searching Splunk Engineer jobs in California look for? The top searched job categories for Splunk Engineer jobs in California are:
What cities in California are hiring for Splunk Engineer jobs? Cities in California with the most Splunk Engineer job openings:
SeniorData Engineer

SeniorData Engineer

Reveille Technologies

San Francisco, CA • On-site

$134K - $162K/yr

Other

Posted 13 days ago


Job description

Core skills:

  • Data Engineering / Streaming Platforms (Kafka, real-time pipelines using scala/python, NIFI)
  • Big Data Platforms (Spark, Hadoop/Ozone, Hive or impala, AWS, Databricks, cloudera manager platform)
  • Production Support & Platform Reliability (using Splunk for monitoring, troubleshooting, performance tuning)
  • Strong SQL
  • AI agent knowledge