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Entry Level Python Automation Engineer Jobs in Fairfax, VA

SAIC

CI/CD and Platform Automation Engineer

Vienna, VA · Remote

$160K - $200K/yr

Manage Python packaging workflows and complex Conda environments. * Administer build infrastructure ... Willing and able to pass a polygraph. * 1+ years of DevOps/CI/CD or platform automation experience.

USM

JB061925 - QA Automation

Mclean, VA · On-site

Good programming knowledge in Java, Python, or JavaScript/TypeScript. Hands-on experience with Selenium WebDriver. Experience with automation frameworks such as TestNG, JUnit, or PyTest. Strong ...

Nastech Global

Python Engineer

Mclean, VA · On-site

Mclean, VA(Onsite) Job Type: Full Time Strong automation experience using Python scripting Strong automation experience using Groovy scripting Strong CICD skills using Jenkins and Jira Strong ...

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Entry Level Python Automation Engineer information

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$37.8K

$109.5K

$166.6K

How much do entry level python automation engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for entry level python automation engineer in Fairfax, VA is $109,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,400.00 and $126,200.00 per year, depending on experience, location, and employer.

What does an entry level Python automation engineer do?

An Entry Level Python Automation Engineer is responsible for designing, developing, and maintaining automated scripts and tools using Python to help streamline processes and improve efficiency. They typically work under the guidance of senior engineers to automate repetitive tasks, perform software testing, or manage data workflows. Their daily tasks may include writing Python code, debugging automation scripts, and collaborating with team members to identify opportunities for automation. This role is ideal for those with a foundational understanding of Python and a passion for problem-solving and process improvement.

What are the key skills and qualifications needed to thrive as an entry level Python automation engineer?

To thrive as an Entry Level Python Automation Engineer, a solid grasp of Python programming, basic software development principles, and familiarity with automation frameworks is essential, often supported by a relevant degree or certification. Experience with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required. Strong analytical thinking, attention to detail, and effective communication set candidates apart in this role. These skills and qualities are crucial for efficiently developing, testing, and maintaining automation solutions that enhance productivity and software quality.

What types of projects and tasks can an entry level Python automation engineer expect to work on in their first year?

As an Entry Level Python Automation Engineer, you can expect to work on a variety of tasks such as writing and maintaining scripts to automate repetitive processes, assisting with the development of test automation frameworks, and supporting the deployment of automated solutions in collaboration with more experienced engineers. You may also be responsible for troubleshooting automation scripts, documenting processes, and participating in code reviews. The work environment is typically team-oriented, and you will likely collaborate closely with developers, QA analysts, and IT support, which provides valuable opportunities to learn and grow your technical and professional skills.

What is the difference between Entry Level Python Automation Engineer vs QA Tester?

AspectEntry Level Python Automation EngineerQA Tester
Required SkillsPython scripting, automation tools, basic testing knowledgeManual testing, test case creation, defect tracking
CertificationsNone mandatory, Python knowledge preferredISTQB or similar testing certifications
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing labs
Industry UsageTech, finance, healthcare, any industry with software productsPrimarily software and tech companies

While both roles involve quality assurance, the Entry Level Python Automation Engineer focuses on developing automated testing scripts using Python, whereas the QA Tester primarily performs manual testing and defect reporting. The automation engineer role requires programming skills and automation tools knowledge, making it more technical. Both roles are essential in software development, but the automation engineer often works closely with developers to streamline testing processes.

What are the most commonly searched types of Python Automation Engineer jobs in Fairfax, VA?

The most popular types of Python Automation Engineer jobs in Fairfax, VA are:

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For Entry Level Python Automation Engineer jobs in Fairfax, VA, the most frequently searched job titles are:

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The top searched job categories for Entry Level Python Automation Engineer jobs in Fairfax, VA are:

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Cities near Fairfax, VA with the most Entry Level Python Automation Engineer job openings:

Entry Level Python Automation Engineer jobs near you
Infographic showing various Entry Level Python Automation Engineer job openings in Fairfax, VA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $109,501 per year, or $52.6 per hour.

Generative AI Automation Engineer - Remote Job

Rockville, MD • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 24 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply