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Remote Analytics Engineer Jobs in New York (NOW HIRING)

Build the pipelines and warehouses that turn raw data into trusted, analytics-ready assets for the ... Fully remote (U.S.-based) Core stack: Python, SQL, Spark, Snowflake, dbt, Airflow, AWS/Azure data ...

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to evaluate and improve AI-powered analytics workflows. You will work with dashboards, reports, KPIs, data ...

GPU Programmer - Remote

New York, NY 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

Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

Data Engineer II (Remote US)

New York, NY ยท Remote

$125K - $150K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting, and product analytics ...

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

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

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

Showing results 41-60

Remote Analytics Engineer information

See New York salary details

$49.8K

$101.9K

$148.2K

How much do remote analytics engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote analytics engineer in New York is $101,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $129,100.00 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 the most commonly searched types of Analytics Engineer jobs in New York?

The most popular types of Analytics Engineer jobs in New York are:

What are popular job titles related to Remote Analytics Engineer jobs in New York?

For Remote Analytics Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Analytics Engineer jobs in New York look for?

The top searched job categories for Remote Analytics Engineer jobs in New York are:

What cities in New York are hiring for Remote Analytics Engineer jobs?

Cities in New York with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in New York as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,941 per year, or $49 per hour.

GPU Programming Software Engineer Expert - Remote

YO AI Labs

New York, NY โ€ข Remote

$60 - $85/hr

Full-time

Posted 24 days ago


Job description

GPU Programmer / Software Engineer

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