ZipRecruiter

Log In

1

Splunk Engineer Jobs in Seattle, WA (NOW HIRING)

Galvanick

Senior Detections Engineer

Seattle, WA · On-site

$130K - $178K/yr

... g Splunk, Elastic), big data/data lake query platforms (e.g. Apache Spark), or relational database. • Programming experience with at least one modern language (e.g. Python, Go, Rust). • ...

InterSources Inc

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

InterSources Inc is a company seeking a Senior Data Engineer to lead the architecture and ... Splunk, ADX, Log Analytics, Anvilogic). • Spearhead the creation and adoption of a schema ...

WorkNovas LLC

Mobility Production Support

Issaquah, WA · On-site

$48.50 - $63.25/hr

Lead triage calls with mobile engineers, backend teams, cloud infrastructure, and third-party ... Experience using Firebase Crashlytics, Datadog, Splunk, Dynatrace, or New Relic to track app ...

Saransh Inc

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Senior AI Engineer - Privacy Location: Bellevue, WA (Onsite from Day 1) Job Type: Contract Must ... using Splunk, AppDynamics, or Grafana. * Apply containerization (Docker) and orchestration ...

SRI Tech solutions Inc

Azure/Cloud Engineer

Bellevue, WA · On-site

$63 - $84/hr

Monitoring and Developer Insight via tooling such as New Relic, Splunk, GitHub, TeamCity and cloud specific Monitoring services is desired Additional Information All your information will be kept ...

SRI Tech solutions Inc

Azure/Cloud Engineer

Bellevue, WA · On-site

$63 - $84/hr

Monitoring and Developer Insight via tooling such as New Relic, Splunk, GitHub, TeamCity and cloud specific Monitoring services is desired Qualifications Additional Information All your information ...

Cloud BC Labs

Sr. SRE Consultant

Seattle, WA · On-site

$64.75 - $86.25/hr

Role: Sr. SRE (Very Strong Technical SRE) Location: Seattle, WA WFO: Mandatory (3 days/week) Short ... Strong experience on one or more Observability tools like Splunk, AppDynamics, Dynatrace, Datadog

Galvanick

Senior Detections Engineer

Seattle, WA · On-site

$180K/yr

Experience developing detection use cases using a SIEM (e.g Splunk, Elastic), big data/data lake query platforms (e.g. Apache Spark), or relational database. * Programming experience with at least ...

Galvanick

Senior Detections Engineer

Seattle, WA · On-site

$180K/yr

Experience developing detection use cases using a SIEM (e.g Splunk, Elastic), big data/data lake query platforms (e.g. Apache Spark), or relational database. * Programming experience with at least ...

Galvanick

Senior Detections Engineer

Seattle, WA · On-site

$180K/yr

Experience developing detection use cases using a SIEM (e.g Splunk, Elastic), big data/data lake query platforms (e.g. Apache Spark), or relational database. * Programming experience with at least ...

USM

Senior Performance Engineer in Test

Seattle, WA · On-site

Required: Strong Performance engineering concepts, strong aptitude for Performance test planning ... Splunk/Tableau Additional Information If you are interested in above position, please share your ...

previous page

Showing results 41-60

All JobsSplunk Engineer JobsSplunk Engineer Jobs in Seattle, WA

Splunk Engineer information

See Seattle, WA salary details

$75.8K

$135.2K

$188.9K

How much do splunk engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for splunk engineer in Seattle, WA is $135,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,690.00 and $154,770.00 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 Seattle, WA?

For Splunk Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Splunk Engineer jobs in Seattle, WA look for?

The top searched job categories for Splunk Engineer jobs in Seattle, WA are:

Splunk Engineer jobs near you
Infographic showing various Splunk Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 29% Full Time, and 71% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $135,203 per year, or $65 per hour.

AI Inference Platform Engineer

Socket.dev

Seattle, WA • On-site

$180 - $240/hr

Other

Posted 4 days ago

Job description

We are looking for an engineer to build tooling, automation, and analysis capabilities that strengthen our AI inference platform. This role will focus on developing sophisticated performance benchmarking systems, capacity projection models, and data analysis pipelines that directly inform our AI infrastructure teams and capacity planners. You'll work at the intersection of AI systems performance, distributed infrastructure, and software engineering to help the team make data-driven decisions about scaling and optimizing our inference platform.

Description

At Apple, we believe the future of AI is defined not just by models, but by the infrastructure that powers them. Our AI inference platform sits at the heart of products and experiences used by hundreds of millions of people worldwide, and we are building the systems that ensure it scales reliably, efficiently, and intelligently. As part of our next-generation datacenter engineering team, you will play a critical role in shaping how we understand, measure, and grow our AI infrastructure. You will design and build the tooling and analysis systems that give our engineers and capacity planners a clear, real-time picture of performance across our fleet. Your work will directly influence how we invest in hardware, how we detect regressions before they reach production, and how we forecast capacity needs months in advance. This is a high-impact, cross-functional role for an engineer who is energized by complexity, thrives on turning raw data into actionable insight, and wants to work on problems that matter at massive scale.

Minimum Qualifications
  • BS or MS in Computer Science or related technical field.
  • Solid understanding of AI/ML inference architecture and the performance characteristics of serving systems.
  • Experience with performance and infrastructure engineering in distributed systems.
  • Proficiency in Python, Go, C++, or other programming languages.
  • Experience with automation engineering, tooling, and data pipelines to support engineering workflows.
  • Strong knowledge of GPU/accelerator architecture as it relates to AI workloads.
  • Practical statistical knowledge applicable to performance analysis and forecasting.
  • Excellent communication skills and ability to turn data into clear guidance for infrastructure teams and capacity planners.
Preferred Qualifications
  • Experience with performance benchmarking and methodologies for AI/ML inference systems.
  • Familiarity with capacity planning and forecasting/projection models for large-scale infrastructure.
  • Experience with GPU profiling and observability tools (e.g., Nsight, other vendor-specific profilers).
  • Experience with data visualization and reporting tools/frameworks for surfacing performance trends to stakeholders.
  • Familiarity with ML serving frameworks and runtimes (e.g., Triton, TensorRT-LLM, vLLM, or similar).
  • Experience with CI/CD and workflow orchestration tools for building automated performance analysis pipelines.
  • Knowledge of cluster schedulers and orchestration platforms (e.g., Kubernetes).
  • Experience with metrics and logging tools (e.g., Prometheus, Grafana, Splunk).
#J-18808-Ljbffr

Apply