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Python Sql Jobs in Utah (NOW HIRING)

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Architect and maintain scalable data pipelines using Python, SQL, and AWS services * Integrate and fine-tune ChatGPT and OpenAI APIs to meet specific business needs * Build and manage containerized ...

Architect and maintain scalable data pipelines using Python, SQL, and AWS services * Integrate and fine-tune ChatGPT and OpenAI APIs to meet specific business needs * Build and manage containerized ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. * Build high quality solutions and assets aligned to defined ...

Digital Analyst Internships

Orem, UT

$85K - $101K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

Digital Analyst Internships

West Jordan, UT

$92K - $108K/yr

Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter Diagnostics, part of the ...

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Python Sql information

See Utah salary details

$12

$53

$78

How much do python sql jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python sql in Utah is $53.37, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $60.62 per hour, depending on experience, location, and employer.

What are some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

Does SQL work well with Python?

Python is widely used for working with SQL databases, with libraries like sqlite3, SQLAlchemy, and pandas enabling seamless integration. These tools allow Python scripts to execute queries, manage data, and automate database operations efficiently, making SQL and Python a common combination for data analysis and backend development.

What jobs can I do with Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles involve data manipulation, database management, automation, and developing data-driven applications, often requiring knowledge of related tools like pandas, SQL queries, and data visualization software.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential, but employers often seek additional skills such as data analysis, problem-solving, and familiarity with frameworks or tools like pandas or Django. Certifications and practical experience can also improve job prospects, as many positions require a combination of technical knowledge and real-world application.

What is the salary of SQL and Python?

Salaries for roles involving SQL and Python vary based on experience, location, and industry, but typically range from $70,000 to $120,000 annually for mid-level positions. Entry-level roles may start around $60,000, while experienced developers or data scientists can earn over $130,000. Skills in data analysis, database management, and programming are highly valued in these roles.
What are the most commonly searched types of Python Sql jobs in Utah? The most popular types of Python Sql jobs in Utah are:
What are popular job titles related to Python Sql jobs in Utah? For Python Sql jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Python Sql jobs in Utah look for? The top searched job categories for Python Sql jobs in Utah are:
What cities in Utah are hiring for Python Sql jobs? Cities in Utah with the most Python Sql job openings:
Infographic showing various Python Sql job openings in Utah as of June 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $111,004 per year, or $53.4 per hour.
AI Engineer

AI Engineer

beatBread

Saint George, UT • On-site

$50K - $90K/yr

Full-time

Posted 21 days ago


Job description

About The Role
As an AI Engineer, you will design, build, and deploy sophisticated AI solutions that drive innovation and strategic impact across the organization. Collaborating closely with cross-functional teams, you will develop and optimize machine learning models, refine data pipelines, and harness emerging AI technologies such as ChatGPT and OpenAI APIs. This role offers the opportunity to shape and implement AI-driven strategies, leveraging your expertise in Python, SQL, Docker, AWS, and custom ML training techniques.
Essential Duties and Responsibilities
  • Lead the end-to-end development, testing, and deployment of AI and ML models
  • Architect and maintain scalable data pipelines using Python, SQL, and AWS services
  • Integrate and fine-tune ChatGPT and OpenAI APIs to meet specific business needs
  • Build and manage containerized environments and workflows with Docker
  • Collaborate with data scientists and engineers to optimize model performance and reliability
  • Implement, monitor, and improve model training processes, including domain-specific custom training
  • Advise on and adopt new AI frameworks and best practices to enhance the organization's AI capabilities
  • Troubleshoot and resolve performance and security issues related to AI systems

Qualifications and Skills
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience.
  • 4-8 years of experience in AI engineering, data science, software engineering, software development, or related roles.
  • Proficiency in Python for data manipulation, scripting, and model development
  • Solid understanding of SQL for data querying, management, and optimization
  • Hands-on experience with Docker for containerization and deployment
  • Familiarity with ChatGPT, OpenAI APIs, and other large language models
  • Strong knowledge of machine learning fundamentals (supervised/unsupervised learning, model tuning, evaluation)
  • Experience working with AWS (e.g., S3, EC2, Lambda) for cloud-based solutions
  • Ability to collaborate effectively with cross-functional stakeholders
  • Proven track record of learning and adapting to emerging AI technologies and tools

Physical Requirements
  • Flexible to work additional hours as needed to meet project deadlines.
  • Ability to sit and work at a computer for extended periods.
  • Occasional lifting of equipment or materials may be required, but not exceeding 20 pounds.
  • Ability to communicate effectively in person, over the phone, and through digital channels.