ZipRecruiter

Log In

2

Analytics Engineer Remote Dbt Jobs in Illinois (NOW HIRING)

YO AI Labs

CUDA Software Engineer - Remote

Chicago, IL · 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 ...

Posted today

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

Build reusable, high-quality data models and curated data products for analytics, reporting, AI/ML ... Experience transforming data leveraging dbt, preferably dbt cloud. * Experience working in AI ...

Experity

Senior Data Engineer - Remote

Machesney Park, IL · On-site +1

$110K - $150K/yr

Build reusable, high-quality data models and curated data products for analytics, reporting, AI/ML ... Experience transforming data leveraging dbt, preferably dbt cloud. * Experience working in AI ...

Cisco

Senior Software Engineer (Remote)

Chicago, IL · Remote

$126K - $166K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Knowledge of production monitoring, incident response, postmortems, and root cause analysis.

Stryker

Salesforce Software Engineer (Remote)

Chicago, IL · On-site +1

$133K - $222K/yr

Remote As a Salesforce Software Engineer, you will play a key role in shaping how our U.S ... Conduct root cause analysis on user reported issues and implement timely, scalable resolutions.

Posted today

NinjaTrader

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting for partner ...

next page

Showing results 1-20

All JobsAnalytics Engineer Dbt JobsAnalytics Engineer Remote Dbt JobsAnalytics Engineer Remote Dbt Jobs in Illinois

Analytics Engineer Remote Dbt information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

What are popular job titles related to Analytics Engineer Remote Dbt jobs in Illinois?

For Analytics Engineer Remote Dbt jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer Remote Dbt jobs in Illinois look for?

The top searched job categories for Analytics Engineer Remote Dbt jobs in Illinois are:

What cities in Illinois are hiring for Analytics Engineer Remote Dbt jobs?

Cities in Illinois with the most Analytics Engineer Remote Dbt job openings:

Analytics Engineer Remote Dbt jobs near you

CUDA Software Engineer - Remote

YO AI Labs

Chicago, IL • Remote

$60 - $100/hr

Full-time

Posted 7 hours ago

Posted today

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.