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Usa Python Jobs in Utah (NOW HIRING)

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

Snowflake or similar systems • Strong Python experience • Strong SQL experience • Strong REST ... Founded in , the company is headquartered in Plano, USA, with a team of 10001+ employees. The ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java ... in the USA. Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics ...

Sr. Software Engineer - AI

Lehi, UT · On-site

$115K - $151K/yr

... Python, NodeJS). • Prior experience building generative AI applications, especially AI Agents ... Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees.

... in Python, GoLang, Java, Ruby, or C++. • A 'can-do' attitude with a proven track record of ... Founded in 2013, the company is headquartered in Lehi, USA, with a team of 1001-5000 employees. The ...

Site Reliability Engineer II

Lehi, UT · On-site

$53.50 - $71/hr

... Python, Powershell, and other similar languages. • Active use of artificial intelligence (AI ... Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 ...

Software Engineer III

Lehi, UT · On-site

$54 - $72.50/hr

... Python • Knowledge of data integration and ETL pipelines across the platform • Ability to ... Founded in 1981, the company is headquartered in Baltimore, USA, with a team of 201-500 employees.

Sr Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

... SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ... Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees.

... as Go, Python, or Elixir. • 1+ years of professional experience deploying and maintaining AI ... Founded in 2014, the company is headquartered in Lehi, USA, with a team of 1001-5000 employees. The ...

Software Engineer III

Lehi, UT · On-site

$54 - $72.50/hr

... Python • Knowledge of data integration and ETL pipelines across the platform • Ability to ... Founded in 1981, the company is headquartered in Baltimore, USA, with a team of 201-500 employees.

... Python predictive modeling • Demonstrated competency in RDBMS (e.g. SQL Server) • Ability to ... Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 ...

Python, C# or other programming experience beneficial WHAT WE OFFER * Competitive pay * Company and personal performance bonus * Safety bonus * Premium benefits plan (low deductible and out-of-pocket ...

Python, C# or other programming experience beneficial WHAT WE OFFER * Competitive pay * Company and personal performance bonus * Safety bonus * Premium benefits plan (low deductible and out-of-pocket ...

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Usa Python information

What jobs in the US pay $300,000 a year?

In the US, high-paying roles such as senior software engineers, data scientists, machine learning engineers, and IT directors can earn $300,000 or more annually, especially with extensive experience, advanced skills in programming and cloud platforms, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in the technology industry.

Will AI replace Python coders?

AI is unlikely to fully replace Python coders, as human expertise is essential for designing, debugging, and maintaining complex software. Python developers will continue to be needed to create and improve AI tools, integrate systems, and handle tasks requiring critical thinking and creativity. Staying updated with AI and machine learning skills can enhance a Python coder's job prospects.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

To thrive as a Python Developer, you need strong programming skills in Python, understanding of software development principles, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and troubleshooting code. These skills and qualifications ensure the delivery of robust, scalable, and maintainable software solutions.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for many roles, including data analysis, web development, and automation, with strong industry adoption and a large community. Its versatility and widespread use in emerging fields like artificial intelligence and machine learning ensure continued demand for Python developers in 2026.

What are some common challenges faced by Python developers working in the USA, and how can they overcome them?

Python developers in the USA often encounter challenges such as keeping up with rapidly evolving technologies, integrating Python with legacy systems, and collaborating across multidisciplinary teams. To overcome these hurdles, it's important to stay updated with industry trends through continuous learning, participate in code reviews, and leverage robust testing practices. Additionally, effective communication and teamwork are vital for integrating solutions and ensuring project success in diverse, agile environments.

What does a Python developer do in the USA?

A Python developer in the USA primarily writes, tests, and maintains code using the Python programming language. They work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design software solutions, debug applications, and ensure the performance and scalability of their code. Their roles can vary depending on the industry, ranging from building backend web services to analyzing big data or developing artificial intelligence models.

How much do Python programmers make in the US?

Python programmers in the US typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level roles may start around $60,000, while senior positions with specialized skills or certifications can exceed $130,000. Knowledge of frameworks, data analysis, or machine learning can influence earning potential.

What is the difference between Usa Python vs Usa Data Analyst?

AspectUsa PythonUsa Data Analyst
Required SkillsPython programming, data manipulation, scriptingData visualization, statistical analysis, Excel
Work EnvironmentSoftware development, data engineering teamsBusiness units, reporting teams
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

While both roles involve working with data, Usa Python focuses on coding, automation, and data engineering tasks, whereas Usa Data Analyst emphasizes interpreting data, creating reports, and visualizations. The roles often collaborate but serve different functions within data projects.

Infographic showing various Usa Python job openings in Utah as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Data Engineer IV - AI & Data Products

Upbound Group

Draper, UT • On-site

$107K - $128K/yr

Full-time

Posted yesterday


Job description

Job Summary:
Upbound Group, Inc. is a technology and data-driven leader in accessible and inclusive financial solutions. They are seeking a Data Engineer IV to define, build, and maintain data products and pipelines, collaborating with various teams to ensure high-quality data solutions and governance.
Responsibilities:
• Define, build, validate and maintain domain-specific data product assets and data pipelines.
• Collaborate with analytics and business partners to define and build semantic layers/models to support various personas – Report consumers, Self-Service and Advanced SQL Analysts, Data Scientists and AI use cases/agents.
• 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 architectural guidelines, data integration patterns, frameworks, and tools.
• Build solutions aligned to security, risk, and compliance guidelines.
• Support analysts and product teams with data products and assigned data domain expertise.
• Assemble large complex data sets that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Manage business glossary in collaboration with business teams and build/maintain technical metadata for assigned data domains.
• Define data quality rules and controls for assigned data domains and data assets (consumption, gold, silver, bronze layer tables).
• Validate domain datasets for accuracy and completeness. Ensure domain data is of high quality and consumable by reporting, analytics, data science, and AI use cases.
• Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets (consumption, gold, silver, bronze layer tables)
• Translate business requirements into Data Products and data assets (consumption, gold, silver, bronze layer tables & pipelines) build specifications.
Qualifications:
Required:
• 8+ years of experience in Data Engineering roles
• 2+ years of warehouse data modeling and pipeline design experience
• Experience with data warehousing: Snowflake or similar systems
• Strong Python experience
• Strong SQL experience
• Strong REST API experience
• Experience using Linux.
• Ability and motivation to learn new technologies quickly with minimal support and guidance.
• Strong communication skills
• Experience supporting and working with cross-functional teams in a dynamic environment.
Preferred:
• AI-Driven Data Engineering Mindset - Hands-on experience using AI-assisted development tools (e.g., Copilot, generative AI) to accelerate pipeline design, code generation, and troubleshooting.
• Intelligent Pipeline Development - Ability to design pipelines that incorporate AI for data transformation, anomaly detection, data classification, and schema evolution.
• AI-Enabled Data Quality & Observability - Experience using AI/ML techniques for automated data quality checks, root cause analysis, and proactive monitoring.
• Metadata & Semantic Layer Enrichment - Ability to use AI to auto-generate metadata, data documentation, semantic mappings, and business glossary entries
Company:
Upbound Group is a technology and data-driven company that provides financial products for consumers. Founded in , the company is headquartered in Plano, USA, with a team of 10001+ employees. The company is currently Late Stage.