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Python Developer Jobs in Charlottesville, VA (NOW HIRING)

SAIC

HPC Support Engineer

Charlottesville, VA

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... Bash * Python Automation experience supporting workload execution or operational tasks is ...

SAIC

HPC Support Engineer

Charlottesville, VA · On-site

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... Bash * Python Automation experience supporting workload execution or operational tasks is ...

SAIC

HPC Support Engineer

Charlottesville, VA · On-site

The engineer will support users executing workloads within Linux-based High Performance Computing ... Bash * Python Automation experience supporting workload execution or operational tasks is ...

Northrop Grumman Corporation

Test Engineer

Waynesboro, VA · On-site

$89K - $134K/yr

Professional software control and use experience using languages such as C++, Python, MATLAB, etc ... Basic Qualifications for the Principal Test Engineer (Level 3): * Bachelor of Science degree plus a ...

Northrop Grumman Corporation

Test Engineer

Waynesboro, VA · On-site

$89K - $134K/yr

Professional software control and use experience using languages such as C++, Python, MATLAB, etc ... Basic Qualifications for the Principal Test Engineer (Level 3): * Bachelor of Science degree plus a ...

SRC, Inc.

Electronic Warfare Engineer

Charlottesville, VA · On-site

$64K - $83K/yr

EW engineers produce electronic warfare integrated reprogramming database (EWIRDB) models that ... MATLAB, Python and other software-based simulation experience * Knowledge/experience with the ...

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Python Developer information

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How much do python developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python developer in Charlottesville, VA is $58.16, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $66.06 per hour, depending on experience, location, and employer.

What jobs do Python developers do?

Python developers write, test, and maintain code using the Python programming language for a variety of applications such as web development, data analysis, machine learning, automation, and scripting. They often work with frameworks like Django or Flask, utilize tools like Git, and may require knowledge of databases and APIs to build and optimize software solutions.

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

Python Developers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring consistent code style among team members, and optimizing application performance. Collaboration with other developers becomes essential, often requiring the use of version control systems and code review processes. Additionally, integrating Python code with other technologies or legacy systems can present unique compatibility and testing hurdles. Proactively adopting best practices like modular architecture and thorough documentation can help mitigate these issues.

Is there demand for Python developers?

Python developers are in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in web development, automation, and machine learning. Strong skills in frameworks like Django or Flask and knowledge of data analysis tools can enhance job prospects, with many roles available for both entry-level and experienced developers.

Will AI replace Python coders?

AI is unlikely to fully replace Python developers, as their role involves designing, debugging, and understanding complex systems that require human judgment and creativity. AI tools can assist with code generation and automation, but human oversight remains essential for quality and innovation in software development.

What Does a Python Developer Do?

As a Python developer, your job is to use the Python programming language to develop, implement, and debug a project. In this role, you may create an application for your employer, design the framework for your code, build tools as necessary to get the job done, create websites, or publish new services. Python developers often work with data collection and analytics to create useful answers to questions and provide insight where it's needed most. Like most programming positions, the specifics of this job vary based on the needs of your employer. Some Python developers work as independent contractors instead of being exclusive to one company.

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, automation, scriptingEnterprise applications, Android development, backend systems
Industry UsageTech startups, data companies, automation firmsFinancial services, enterprise software, mobile app companies
Common Search/ComparisonOften compared for backend and scripting rolesCompared for enterprise and mobile app development

Python Developers and Java Developers share similar educational backgrounds and often work in backend environments. However, Python is favored for data science, scripting, and rapid development, while Java is preferred for large-scale enterprise applications and Android development. Both roles are highly sought after, but their industry focus and project types differ.

What is the salary of a 4 year Python developer?

A Python developer with four years of experience typically earns between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in frameworks, libraries, and tools like Django or Flask can influence salary levels.

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, a solid understanding of algorithms and data structures, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and knowledge of databases and cloud services are commonly required. Problem-solving ability, attention to detail, and effective communication help developers collaborate and deliver high-quality code. These skills and qualities are vital to building efficient, scalable software solutions and contributing effectively to development teams.

What does a Python Developer do?

A Python Developer designs, codes, and maintains software applications using the Python programming language. They often work on web applications, data analysis, automation scripts, and more. Their responsibilities can include writing and testing code, debugging programs, integrating third-party services, and collaborating with other developers and stakeholders. Python Developers are valued for their ability to create efficient, scalable, and readable code. They may also be involved in deploying applications and maintaining technical documentation.
More about Python Developer jobs
What are the most commonly searched types of Python Developer jobs in Charlottesville, VA? The most popular types of Python Developer jobs in Charlottesville, VA are:
What are popular job titles related to Python Developer jobs in Charlottesville, VA? For Python Developer jobs in Charlottesville, VA, the most frequently searched job titles are:
What job categories do people searching Python Developer jobs in Charlottesville, VA look for? The top searched job categories for Python Developer jobs in Charlottesville, VA are:
What cities near Charlottesville, VA are hiring for Python Developer jobs? Cities near Charlottesville, VA with the most Python Developer job openings:
Python Developer jobs near you
Infographic showing various Python Developer job openings in Charlottesville, VA as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $120,964 per year, or $58.2 per hour.
HPC Support Engineer

HPC Support Engineer

SAIC

Charlottesville, VA

Full-time

Posted 24 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

Job ID: 2610673

Location: Charlottesville, VA, US

Date Posted: 2026-03-26

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: Top_Secret

Clearance Level Must Be Able to Obtain: TS/SCI

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is looking for a highly qualified HPC Support Engineer to support the Army’s Golden Dome initiative. The engineer will support users executing workloads within Linux-based High Performance Computing (HPC) cluster environments used for distributed compute workloads, simulation environments, and GPU-enabled processing.


The environment will include:

  • multi-node Linux compute clusters
  • workload scheduling platforms such as Slurm or PBS
  • distributed parallel compute workloads utilizing MPI or OpenMP
  • GPU-enabled compute resources supporting CUDA-based processing
  • high-performance networking technologies including RDMA / InfiniBand
     

The system will be used to support scientific computing, simulation workloads, and other distributed compute operations within a secure research environment.

Candidates should be comfortable working within cluster-scale computing environments where performance, scheduler configuration, and distributed workload execution are critical operational factors.

The HPC Support Engineer will assist users executing computational workloads within HPC cluster environments.


The role focuses on:

  • supporting distributed compute workloads

  • troubleshooting job execution issues

  • assisting users with scheduler job submission scripts

  • identifying workload performance bottlenecks

  • supporting GPU-enabled workloads

  • promoting efficient cluster utilization and HPC best practices

Candidates should have experience working with distributed compute workloads and Linux-based HPC environments.

Core Technical Capabilities

Candidates should demonstrate capability in most of the following areas.

HPC Workload Execution

Experience supporting execution of distributed workloads on HPC cluster platforms.


Candidates should understand how compute workloads interact with cluster schedulers, compute nodes, and distributed resources.
 

Workload Scheduling Platforms

Experience executing and troubleshooting workloads using schedulers such as:

  • Slurm
  • PBS / PBS Pro
  • Torque
  • Grid Engine

Candidates should understand job submission workflows and resource allocation concepts such as CPU, memory, and GPU scheduling.


Candidates should be comfortable reading and troubleshooting scheduler job submission scripts used to execute distributed workloads.
 

Linux Systems Usage


Strong Linux experience including:

  • command-line system usage
  • execution of compute workloads within Linux environments
  • troubleshooting application execution issues
     

Experience with RHEL-based environments is preferred.

Distributed Compute Workloads

Experience supporting distributed workloads utilizing parallel computing frameworks such as:

  • MPI

  • OpenMP

Experience supporting the compilation and execution of scientific or engineering applications within Linux HPC environments.
 

Familiarity with common HPC programming languages and compiler toolchains including:

  • C/C++

  • Fortran

Candidates should understand how compiled applications interact with scheduler configuration, compute resources, cluster networking, and distributed runtime environments.

Experience troubleshooting application build or runtime issues related to compiler configuration, library dependencies, or MPI environments is desirable.
 

Familiarity with common HPC compiler toolchains such as GCC, Intel, or LLVM-based compilers is desirable.
 

GPU Compute Workloads


Experience executing or supporting workloads utilizing GPU-enabled compute environments and CUDA frameworks is desirable.

Performance Troubleshooting

Ability to identify issues affecting workload execution including:

  • inefficient resource allocation

  • scheduler configuration issues

  • application execution failures

  • distributed compute performance bottlenecks


Automation and Operational Tooling


Experience writing scripts or tooling using languages such as:

  • Bash
  • Python
     

Automation experience supporting workload execution or operational tasks is beneficial.
 

Qualifications

Candidates must meet the following requirements:

  • Bachelor degree in science/technology; 4 additional YoE can be substituted for degree
  • 8+ years of experience is required
  • Minimum 5 years of experience working in Linux environments supporting distributed compute workloads or HPC cluster platforms
  • An Active Top Secret clearance is required; an active TS/SCI clearance must be obtained prior to beginning work.
  • 100% onsite support in Charlottesville, VA
  • Experience executing or troubleshooting workloads using HPC workload schedulers such as Slurm, PBS, Torque, or similar systems
  • Experience using command-line Linux environments
  • Experience with scripting or automation tools (Bash, Python, or similar)
  • Ability to obtain required DoD 8140 (8570) IAT Level II certification
  • Candidates must have direct experience working with HPC or distributed compute workloads.
     

Candidates with the following experience are strongly preferred:

  • Experience supporting HPC cluster environments used for distributed compute workloads
  • Experience executing or troubleshooting MPI or OpenMP workloads
  • Experience supporting GPU-enabled workloads and CUDA frameworks
  • Experience supporting scientific or engineering compute applications
  • Experience supporting research, laboratory, or mission computing environments
  • Experience supporting systems within DoD/DoW or IC environments
     

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