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Remote Analytics Engineer Jobs in California (NOW HIRING)

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

AI Consulting Expert - Remote

Palo Alto, CA ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

AI Consulting Expert - Remote

San Jose, CA ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ...

Data Engineer

San Francisco, CA ยท Remote

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Data Engineer

San Francisco, CA ยท Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

... analytics data products. We believe that oddsmaking is a challenge rooted in engineering ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Showing results 21-40

Remote Analytics Engineer information

What is a remote analytics engineer?

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 as a remote analytics engineer?

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.

What are the most commonly searched types of Analytics Engineer jobs in California?

The most popular types of Analytics Engineer jobs in California are:

What cities in California are hiring for Remote Analytics Engineer jobs?

Cities in California with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in California as of August 2026, with employment types broken down into 11% Internship, 84% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution.

CUDA Software Engineer - Remote

San Jose, CA โ€ข Remote

$60 - $100/hr

Full-time

Posted 5 days ago


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.