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Remote Splunk Engineer Jobs in Arizona (NOW HIRING)

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Remote Splunk Engineer information

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$32.5K

$116.2K

$171.4K

How much do remote splunk engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote splunk engineer in Arizona is $116,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,087.00 and $136,408.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a remote Splunk engineer?

A Remote Splunk Engineer typically manages Splunk deployments, ingests and normalizes data from various sources, and creates dashboards and alerts to support security and operational teams. Daily tasks often include troubleshooting log sources, optimizing search queries, maintaining system health, and collaborating with IT security, DevOps, or infrastructure teams to meet business objectives. Regular communication with stakeholders is also important to understand monitoring needs and proactively address incidents or gaps in visibility. Most remote Splunk engineers use virtual collaboration tools and ticketing systems to organize work and ensure seamless team integration, even from a distance.

What is a remote Splunk engineer?

A Remote Splunk Engineer is responsible for designing, implementing, and managing Splunk solutions while working remotely. They configure data ingestion, create dashboards, optimize system performance, and troubleshoot issues to ensure effective log management and security monitoring. This role often involves working with security teams, DevOps, or IT operations to analyze system performance and detect anomalies. Strong knowledge of Splunk architecture, search queries, and scripting is essential.

What are the key skills and qualifications needed to thrive in the remote Splunk engineer position?

To thrive as a Remote Splunk Engineer, you need expertise in Splunk architecture, log management, data analysis, and scripting or automation, typically supported by a degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Cloud, ITSI, and certifications like Splunk Certified Power User or Admin are highly valued. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These qualifications enable you to efficiently implement security monitoring, deliver actionable insights, and support distributed teams in diverse technical environments.

What job categories do people searching Remote Splunk Engineer jobs in Arizona look for?

The top searched job categories for Remote Splunk Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Splunk Engineer jobs?

Cities in Arizona with the most Remote Splunk Engineer job openings:

Infographic showing various Remote Splunk Engineer job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,215 per year, or $55.9 per hour.

Senior / Staff ML Onboard Optimization Engineer

Waabi

Phoenix, AZ • On-site, Remote

$141K - $249K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
- Create and benchmark new CUDA kernels for inference.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
 
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Bonus/nice to have:
- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel build systems, and integrating third party packages into dev environments.
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi's yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
- As we grow, this list continues to evolve! 

Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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