ZipRecruiter

Log In

2

Remote Python Engineer Jobs in Salt Lake City, UT

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 ... Proficiency in at least one structured programming language (e.g., Python). * Experience with ...

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 ... Proficiency in at least one structured programming language (e.g., Python). * Experience with ...

Canopy

Senior Full Stack Engineer

South Jordan, UT · Remote

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... Design and implement REST API endpoints and microservices using Python with FastAPI or Java with ...

Canopy

Senior Full Stack Engineer

South Jordan, UT · Remote

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... Design and implement REST API endpoints and microservices using Python with FastAPI or Java with ...

Conduent, Inc.

Cyber Operations Engineer III

Sandy, UT · On-site +1

$91K - $120K/yr

Proficiency in scripting and automation (e.g., Python, JavaScript) and experience with workflow ... Remote Work: Enjoy the flexibility of working from home while optimizing your work-life balance.

Entrata

AI Software Engineer

Lehi, UT · On-site +1

$110.40K - $176.80K/yr

Strong proficiency in Python and at least one core programming language (e.g., JavaScript ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Entrata

AI Software Engineer

Lehi, UT · On-site +1

Strong proficiency in Python and at least one core programming language (e.g., JavaScript ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

next page

Showing results 1-20

People also search for

All JobsRemote Python Engineer JobsRemote Python Engineer Jobs in Salt Lake City, UT

Remote Python Engineer information

See Salt Lake City, UT salary details

$22.3K

$135.5K

$196K

How much do remote python engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote python engineer in Salt Lake City, UT is $135,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $159,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Engineer, you need a strong command of Python programming, experience with software development best practices, and familiarity with frameworks like Django or Flask, often supported by a relevant degree or equivalent experience. Proficiency in version control systems such as Git, cloud platforms like AWS or Azure, and continuous integration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial for effective collaboration in a remote environment. These skills ensure high-quality code delivery, efficient teamwork across distributed teams, and successful project outcomes.

What are some common challenges faced by Remote Python Engineers, and how can they be overcome?

Remote Python Engineers often encounter challenges such as effective communication across time zones, maintaining productivity outside a traditional office, and ensuring code quality in distributed teams. To overcome these, it's helpful to use collaborative tools like Slack and GitHub, participate in regular virtual meetings, and follow clear coding standards. Actively documenting your work and reaching out proactively to teammates can also foster a sense of connection and streamline project workflows.

What does a Remote Python Engineer do?

A Remote Python Engineer designs, develops, and maintains software applications using the Python programming language, all while working from a remote location. Their responsibilities typically include writing efficient code, troubleshooting issues, collaborating with team members through online tools, and integrating third-party APIs or libraries. They may work on web development, automation scripts, data analysis, or backend services depending on the company's needs. Remote Python Engineers must have strong communication skills and be comfortable using project management and version control tools like Git. This role is ideal for those who want the flexibility of working from home while contributing to software projects.

What is the difference between Remote Python Engineer vs Remote Data Scientist?

AspectRemote Python EngineerRemote Data Scientist
Required SkillsPython, APIs, software developmentPython, statistics, machine learning
Work EnvironmentSoftware development teams, coding, debuggingData analysis, modeling, research
Industry UsageTech, startups, software companiesFinance, healthcare, tech

While both roles require Python skills, Remote Python Engineers focus on building and maintaining software applications, whereas Remote Data Scientists analyze data and develop models. The roles often overlap in Python proficiency but differ in their core responsibilities and industry applications.

What are the most commonly searched types of Python Engineer jobs in Salt Lake City, UT? The most popular types of Python Engineer jobs in Salt Lake City, UT are:
What are popular job titles related to Remote Python Engineer jobs in Salt Lake City, UT? For Remote Python Engineer jobs in Salt Lake City, UT, the most frequently searched job titles are:
What job categories do people searching Remote Python Engineer jobs in Salt Lake City, UT look for? The top searched job categories for Remote Python Engineer jobs in Salt Lake City, UT are:
Remote Python Engineer jobs near you
Infographic showing various Remote Python Engineer job openings in Salt Lake City, UT as of May 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 49% Physical, 2% Hybrid, and 49% Remote job distribution, with an average salary of $135,452 per year, or $65.1 per hour.
DevOps Engineer- Contour Cloud

DevOps Engineer- Contour Cloud

Contour Data Solutions

Magna, UT • On-site, Remote

$150K - $200K/yr

Full-time

Posted 24 days ago

Job description

Company: Contour Data Solutions, LLC

Role: DevOps Engineer – Contour Cloud

Location: Remote / Hybrid (USbased preferred)

Department: Cloud & Infrastructure Engineering

Reports To: Head of Engineering / Infrastructure/Cloud

Salary Range: $150K-$200K

Role Overview

Contour Data Solutions is seeking a DevOps Engineer to support and evolve Contour Cloud, our private and hybrid cloud platform, and to work closely with the Cinch Software development team on cloud orchestration and platform automation.

This role sits at the intersection of cloud infrastructure, software development, network engineering, and storage platforms, with a heavy emphasis on Linux-based systems, virtualization, automation, and observability. The ideal candidate is hands-on, infrastructure-first, and comfortable bridging development and operations in a production cloud environment.

Key Responsibilities

Cloud & Platform Engineering

  • Design, deploy, and maintain Linux-based cloud infrastructure supporting ContourCloud workloads
  • Build and automate cloud deployments, platform services, and infrastructure workflows through scripting and code
  • Support and enhance virtualization platforms, with a primary focus on Xen/XCP-ng; VMware, NSX and vSphere experience
  • Build, deploy, and maintain physical and virtual server platforms

Cinch Software Integration

  • Work daily with Cinch Software to:
    • Enable cloud orchestration and automation
    • Ensure reliable cloud deployments and management workflows
    • Improve integration between software-driven automation and infrastructure reali

DevOps & Automation

  • Collaborate closely with the Cinch Software development team to support:
    • Cloud orchestration
    • Platform integration
    • Deployment automation
    • Infrastructure-as-Code–style workflows
  • Develop and maintain automation using scripting and programming languages (e.g., Bash, Python, Go, etc.)
  • Improve deployment consistency, reliability, and repeatability across environments

Networking & IP Management

  • Work directly with the Network Engineering team on:
    • IP address management (IPAM)
    • Network provisioning and lifecycle
    • Cloud and data center network integration
  • Leverage NetBox for IPAM, DCIM, and infrastructure modeling

Monitoring, Observability & Operations

  • Implement and maintain monitoring and observability platforms including:
    • Zabbix for infrastructure monitoring
    • Grafana for visualization and dashboards
  • Assist in capacity planning, performance tuning, and fault analysis
  • Participate in platform reliability and operational readiness initiatives

Storage & Systems

  • Design, build, and maintain server and storage platforms, including:
    • ZFS-based storage architectures
    • TrueNAS (Core or SCALE) platforms
  • Support data integrity, performance, and scalability requirements across cloud and customer environments

Required Skills & Experience

  • Strong Linux systems administration experience (required)
  • Proven experience with:
    • Scripting and automation
    • Infrastructure or platform engineering in production environments
  • Hands-on experience with:
    • Xen virtualization
    • XCP-ng (preferred)
    • VMware NSX & vSphere
  • Experience working with:
    • NetBox (IPAM / DCIM)
    • Zabbix
    • Grafana
  • Experience building and supporting:
    • Physical servers
    • Virtual infrastructure
    • ZFS-based storage platforms
    • TrueNAS
  • Ability to work cross-functionally with:
    • Software development teams
    • Network engineering teams
    • Infrastructure and operations teams
    •  

Preferred Qualifications

  • Experience in private cloud or MSP environments
  • Familiarity with cloud orchestration and self-service platform design
  • Understanding of DevOps best practices across infrastructure and application lifecycles
  • Strong documentation and communication skills
  • Experience supporting multi-tenant or customer-facing platforms
  •  

How This Role Is Different

  • Not a pure CI/CD or app DevOps role
  • Not isolated infrastructure engineering
  • This is a platform DevOps role, tightly coupled to:
    • Product-driven cloud orchestration (Cinch)
    • Real production infrastructure
    • Networking, storage, and observability
    •  

Why Contour Cloud?

  • Work on a real, production private cloud platform
  • Direct impact on cloud architecture, automation, and platform design
  • Tight collaboration with product development around Cinch Software
  • Engineering-first culture with deep infrastructure expertise

Apply