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Remote Analytics Engineer Jobs in Havertown, PA (NOW HIRING)

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

CUDA Developer - Remote

Philadelphia, PA ยท Remote

$60 - $100/hr

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 ...

GPU Programmer - Remote

Philadelphia, PA ยท Remote

$60 - $85/hr

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

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

Energy Engineer PE I

Philadelphia, PA ยท On-site +1

$103K - $132K/yr

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

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Remote Analytics Engineer information

See Havertown, PA salary details

$44.4K

$91K

$132.4K

How much do remote analytics engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote analytics engineer in Havertown, PA is $91,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $115,300.00 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 Havertown, PA?

For Remote Analytics Engineer jobs in Havertown, PA, the most frequently searched job titles are:

What job categories do people searching Remote Analytics Engineer jobs in Havertown, PA look for?

The top searched job categories for Remote Analytics Engineer jobs in Havertown, PA are:

What cities near Havertown, PA are hiring for Remote Analytics Engineer jobs?

Cities near Havertown, PA with the most Remote Analytics Engineer job openings:

CUDA Software Engineer - Remote

Philadelphia, PA 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.