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Remote Analytics Engineer Jobs in Euless, TX (NOW HIRING)

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze performance bottlenecks and implement optimization strategies. Required Qualifications

New

Remote - Utah: Remote - Oklahoma: US, TX, Dallas, Virtual: Remote - Maine: Remote ... Coordinating and communicating with clinical analysts, product analysts, quality analysts, and ...

Remote - Utah: Remote - Oklahoma: US, TX, Dallas, Virtual: Remote - Maine: Remote ... Coordinating and communicating with clinical analysts, product analysts, quality analysts, and ...

As a Remote Geotechnical Engineer, you will perform geotechnical engineering design, project ... Must be a registered professional engineer * 4+ years of related Geotechnical analysis and design ...

Data Engineer

Irving, TX ยท On-site +1

$141K - $144K/yr

Hybrid position: remote work permitted but must live within commuting distance of designated office ... Analytics, Engineering, or a related field and two (2) years of experience in the job offered or a ...

Senior Software Engineer

Dallas, TX ยท Remote

$121K - $160K/yr

Remote - Utah: Remote - Oklahoma: US, TX, Dallas, Virtual: Remote - Maine: Remote ... Coordinating and communicating with clinical analysts, product analysts, quality analysts, and ...

Senior Software Engineer

Dallas, TX ยท Remote

$121K - $160K/yr

Remote - Utah: Remote - Oklahoma: US, TX, Dallas, Virtual: Remote - Maine: Remote ... Coordinating and communicating with clinical analysts, product analysts, quality analysts, and ...

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Showing results 41-60

Remote Analytics Engineer information

See Euless, TX salary details

$42.1K

$86.2K

$125.4K

How much do remote analytics engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote analytics engineer in Euless, TX is $86,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $109,200.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Analytics Engineer jobs in Euless, TX?

For Remote Analytics Engineer jobs in Euless, TX, the most frequently searched job titles are:

What cities near Euless, TX are hiring for Remote Analytics Engineer jobs?

Cities near Euless, TX with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in Euless, TX as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $86,220 per year, or $41.5 per hour.

GPU Programming Expert - Remote

YO AI Labs

Dallas, TX โ€ข Remote

$60 - $85/hr

Full-time

Posted 2 days ago

New


Job description

GPU Programming Expert - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities
  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications
  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan