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Remote Analytics Engineer Jobs in Nevada (NOW HIRING)

WSP

Civil/Geotechnical Engineer (Mining)

Elko, NV · On-site +1

$80.10K - $99.40K/yr

Strong analytical skills including the ability to complete engineering calculations and analyses * Ability to work both independently and on teams * Comfortable working in remote settings

iTalent Digital

Business Analyst

Las Vegas, NV · Remote

This role is 100% remote! The individual selected will be instrumental in helping us continue to ... As a Business Systems Analyst on the Technology Operations Engineering team, you'll interact with ...

WSP

Associate Civil Engineer, Mine Waste

Reno, NV · On-site +1

Strong analytical skills including the ability to complete engineering calculations and analyses. * Ability to work both independently and on teams. * Comfortable working in remote settings.

Celestica

Senior Devops AI tools Engineer

Las Vegas, NV · Remote

$124.90K - $160.50K/yr

Req ID: 135521 Remote Position: Yes Region: Americas Country: USA Summary The DevTestOps engineer ... Analytical mindset with a service-oriented mentality focused on keeping customers happy. Physical ...

Eliassen Group

Full Stack Engineer

Carson City, NV · Remote

Remote Reference ID: JN -042026-106484 Date Posted: 05/20/2026 Shortcut: * Description ... Ability to leverage data, telemetry, and analytics to inform engineering decisions. Education ...

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How much do remote analytics engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote analytics engineer in Nevada is $94,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $120,200.00 per year, depending on experience, location, and employer.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.
More about Remote Analytics Engineer jobs
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What cities in Nevada are hiring for Remote Analytics Engineer jobs? Cities in Nevada with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 20 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply