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Python Sql Jobs in Utah (NOW HIRING)

Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI Position ...

Technical Product Manager

South Jordan, UT · On-site

$159K - $184K/yr

Technical proficiency with data stacks (e.g., Python, SQL, APIs, cloud services) and common AI/ML frameworks (e.g., TensorFlow, PyTorch, MCP) * Proficiency in Agile/Scrum methodologies with strong ...

Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI Position ...

Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI Position ...

Using high-level programing and/or scripting (e.g., Python, SQL, .Net) in support of automation, integration, or data solutions * Troubleshooting and supporting complex critical 24x7x365 automated ...

Technical Product Manager

South Jordan, UT

$159K - $184K/yr

Technical proficiency with data stacks (e.g., Python, SQL, APIs, cloud services) and common AI/ML frameworks (e.g., TensorFlow, PyTorch, MCP) * Proficiency in Agile/Scrum methodologies with strong ...

Controls Engineer Midstream

Salt Lake City, UT · On-site

$80K - $103K/yr

Using high-level programing and/or scripting (e.g., Python, SQL, .Net) in support of automation, integration, or data solutions * Troubleshooting and supporting complex critical 24x7x365 automated ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

DE developing Continuous Integration and Continuous Delivery (CI/CD) pipeline development and data workflow orchestration, using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

DE developing Continuous Integration and Continuous Delivery (CI/CD) pipeline development and data workflow orchestration, using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within ...

Senior Data Engineer

Salt Lake City, UT

$102K - $139K/yr

DE developing Continuous Integration and Continuous Delivery (CI/CD) pipeline development and data workflow orchestration, using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within ...

Technical fluency with systems architecture and automation development, including working knowledge of JavaScript, Python, SQL, APIs, and AI tooling ecosystems. * Strong analytical and operational ...

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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 Jul 12, 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.

What jobs require Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles often involve data manipulation, automation, and database management, and may require familiarity with tools like pandas, SQL databases, 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 is the salary of Python and SQL?

The salary for roles involving Python and SQL varies based on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually for mid-level positions. Skills in data analysis, database management, and programming are highly valued in these roles.

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 can I do with Python and SQL?

A Python SQL developer can use Python to automate data processing, build data pipelines, and perform data analysis by connecting to databases using libraries like SQLAlchemy or pandas. They can write and optimize SQL queries to extract, transform, and load data, supporting data-driven decision-making and application development. Knowledge of database management systems and scripting skills are essential for 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 July 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $111,004 per year, or $53.4 per hour.

Data Scientist

swirecc

Draper, UT • On-site

Other

Re-posted 22 days ago


Job description

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products. Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use Databricks to transform raw data into cognizable information. Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models. Use ML Ops to deploy models. Use PowerBI for business reporting and dashboards to enable decision making. Evaluate implications of findings on business outcomes, and communicate and document work. Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI

Position requires a Master’s degree in Business Analytics or an equivalent field, and 2 years of experience as a  Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience with Databricks; experience with Supervised and Unsupervised Machine Learning; experience with SQL; experience with Python; experience with PySpark; experience with  Statistical Analysis; experience with Predictive Analysis; and experience with Agile Methodology. #LI-DNI 

Job location: Draper, UT.

Alternatively, please send your resume, cover letter, and a copy of the ad to: Amber Ivie, 12634 South 265 West, Draper, UT 84020.