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Python Jobs in Ogden, UT (NOW HIRING)

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Programs testable and maintainable software solutions using Object Oriented (OO) Python programming and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow.

AutoSavvy

Data Engineer

Woods Cross, UT

$108K - $129K/yr

Our stack primarily includes Azure SQL, Python-based data workflows, Azure Functions and Container Apps for scheduled and event-driven workflows, and Azure Blob Storage. Scope of the Role You will ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Our stack primarily includes Azure SQL, Python-based data workflows, Azure Functions and Container Apps for scheduled and event-driven workflows, and Azure Blob Storage. Scope of the Role You will ...

EndoSec LLC

FPGA Engineer

Salt Lake City, UT · On-site

$125K - $161K/yr

Description Apply Now RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded software, System Integration, Hardware Security, Xilinx, Simulation, IP core, Versal, Stratix, concept ...

Danaher

Software Engineer Internships

Ogden, UT · On-site

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an Agile Scrum team, collaborating across design, development, and testing * Supporting the development of ...

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$12

$57

$84

How much do python jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for python in Ogden, UT is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek candidates with strong programming skills, experience with frameworks like Django or Flask, and knowledge of related tools such as Git and cloud platforms. The demand is expected to grow as Python remains a key language for emerging technologies.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What careers can you do with Python?

Python is a versatile programming language used in various careers such as software development, data analysis, machine learning, web development, automation, and cybersecurity. Professionals often work as developers, data scientists, machine learning engineers, or DevOps specialists, utilizing tools like frameworks, libraries, and cloud platforms. Strong problem-solving skills and knowledge of related technologies enhance job prospects in these fields.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can 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 solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

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

In the US, senior software engineers, data scientists, and machine learning engineers with extensive experience and advanced skills can earn salaries of $300,000 or more annually. Executive roles such as CTOs and senior management in tech companies also often reach or exceed this compensation level, especially with bonuses and stock options.

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, knowledge of software development principles, and typically 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 highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What Is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

More about Python jobs
What are the most commonly searched types of Python jobs in Ogden, UT? The most popular types of Python jobs in Ogden, UT are:
What are popular job titles related to Python jobs in Ogden, UT? For Python jobs in Ogden, UT, the most frequently searched job titles are:
What job categories do people searching Python jobs in Ogden, UT look for? The top searched job categories for Python jobs in Ogden, UT are:
What cities near Ogden, UT are hiring for Python jobs? Cities near Ogden, UT with the most Python job openings:
Python jobs near you
Infographic showing various Python job openings in Ogden, UT as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,393 per year, or $57.4 per hour.
Senior Data Engineer

Senior Data Engineer

Fidelity Investments

Salt Lake City, UT

$102K - $139K/yr

Full-time

Re-posted 5 days ago

Job description

Job Description:

Position Description:

Designs and implements scalable data pipelines, optimizes workflows for performance and reliability, and ensures compliance with data governance policies. Programs testable and maintainable software solutions using Object Oriented (OO) Python programming and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Develops and designs functional programming, emerging technologies, and messaging frameworks, using Kafka. Implements business rule management systems in Python or Java with Drools, Pyke, and Nools. Leverages quantitative, statistics, and econometrics (including probability, linear regression, time series data analysis, and optimizations) techniques and methods. Programs testable and maintainable software solutions using Splunk, Snowflake, YugabyteDB, Aerospike, and S3 database management systems. Employs Agile development lifecycle methodologies (Kanban and SCRUM).

Primary Responsibilities:

  • Develops software system testing and validation procedures, programming, and documentation.

  • Develops original and creative technical solutions to on-going development efforts.

  • Designs applications or subsystems on major projects and for/in multiple platforms.

  • Performs technical and functional analysis for data engineering projects.

  • Supports and performs all phases of testing leading to implementation.

  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.

  • Responsible for post-installation testing of any problems.

  • Establishes project plans for projects of moderate scope.

  • Works on complex assignments and often multiple phases of a project.

  • Collaborates with teams to support data-centric initiatives.

  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") performing cloud-native, event-driven, data platform architecture using Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and Airflow in enterprise environments.

  • DE building and optimizing data lakes, warehouses, and models, using Snowflake, Redshift, SQL, and Denodo to access federated databases (Oracle, DB2, Teradata, MongoDB, PostgreSQL, MSSQL, Yugabyte, and Aerospike); and enabling scalable transformations, performance tuning, and cross-platform insights.

  • 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 the Software Development Life Cycle (SDLC), to automate ingestion, transformation, validation, and monitoring for data integrity, Agile delivery, and operational efficiency.

  • DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights using PowerBI, Tableau, or Quicksight; and developing scalable solutions using Java, Shell, PL/SQL, Talend, Alteryx, Informatica, Unix, and Linux.

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