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Remote Analytics Engineer Jobs in Utah (NOW HIRING)

Deloitte

Databricks Engineer

Salt Lake City, UT · On-site +1

Develop and maintain Databricks notebooks, jobs, workflows, and pipelines for data and analytics ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

SAIC

Mechanical Engineer

Hill Air Force Base, UT · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an exceptional Mechanical ... Your role will focus on providing deep technical analysis and oversight throughout the engineering ...

Mantis Innovation

BMS Controls Application Engineer

Lehi, UT · Remote

$78.40K - $101.40K/yr

You will help refine engineering standards and provide remote support to project and field teams ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Kiongroup

Simulation Engineer

Salt Lake City, UT · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Success in this position comes to those who enjoy solving sophisticated problems, analyzing data ...

Kiongroup

Simulation Engineer

Salt Lake City, UT · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Success in this position comes to those who enjoy solving sophisticated problems, analyzing data ...

DataAnnotation

Staff Software Engineer

Salt Lake City, UT · On-site +1

$60/hr

... analysis and visualization. Your work directly contributes to refining intelligent systems that ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

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Remote Analytics Engineer information

See Utah salary details

$41.4K

$84.8K

$123.4K

How much do remote analytics engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote analytics engineer in Utah is $84,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $107,400.00 per year, depending on experience, location, and employer.

What is a Remote Analytics Engineer job?

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 in the Remote Analytics Engineer position, and why are they important?

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.
More about Remote Analytics Engineer jobs
What are the most commonly searched types of Analytics Engineer jobs in Utah? The most popular types of Analytics Engineer jobs in Utah are:
What are popular job titles related to Remote Analytics Engineer jobs in Utah? For Remote Analytics Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Utah look for? The top searched job categories for Remote Analytics Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Analytics Engineer jobs? Cities in Utah with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in Utah as of May 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution, with an average salary of $84,828 per year, or $40.8 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

West Jordan, UT • Remote

Other

Posted 8 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply