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Python Automation Jobs in Virginia (NOW HIRING)

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Python AWS Pyspark Developer

Reston, VA · On-site

$52.25 - $72/hr

Strong Python developement to build a big-data pipeline for data processing and analysis ... Need strong experience in Hadoop EMR, Spark, Pyspark, Hive, AWS, Terraform (end to end automation ...

Computer World Services

Automation Tester

Springfield, VA · On-site +1

$110K - $115K/yr

Build and maintain automation frameworks using Python, Java, or Groovy. * Verify backend data using SQL (Oracle, PostgreSQL, MySQL). * Troubleshoot API and data issues through log analysis and ...

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you ... Design and develop automation of data flow tasks and end-to-end process testing * Design and ...

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you ... Design and develop automation of data flow tasks and end-to-end process testing * Design and ...

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you ... Design and develop automation of data flow tasks and end-to-end process testing * Design and ...

Nightwing

Data Automation Engineer

Arlington, VA · On-site

... skills in Python, with experience in data manipulation libraries • Experience developing data pipelines and ETL processes • Knowledge of automation frameworks and orchestration tools • ...

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Python Automation information

See Virginia salary details

$22.8K

$138.8K

$200.8K

How much do python automation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for python automation in Virginia is $138,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,600.00 and $163,100.00 per year, depending on experience, location, and employer.

What is a Python Automation?

A Python Automation job involves using Python scripts and frameworks to automate repetitive tasks, workflows, or processes in various domains such as software testing, data processing, system administration, and web scraping. Professionals in this role write and maintain automation scripts, integrate them with existing systems, and optimize performance to improve efficiency. They often work with libraries like Selenium, Pandas, and PyAutoGUI, depending on the specific use case.

What does a Python Automation do?

A typical day in a Python Automation position involves designing, writing, and maintaining scripts to automate repetitive or complex tasks, often in collaboration with development and QA teams. You might start by reviewing automation requirements, setting up test environments, and debugging scripts or automated pipelines. Expect regular meetings with team members to align on project goals, troubleshoot integration issues, and discuss enhancements. This role often includes documenting processes and results to ensure knowledge sharing and smooth handoffs within the team.

What are the key skills and qualifications needed to thrive in Python Automation, and why are they important?

To excel in Python Automation, you need a solid understanding of programming in Python, scripting, and automation frameworks such as Selenium or PyAutoGUI, often backed by a degree in computer science or related field. Experience with version control tools like Git, familiarity with CI/CD pipelines, and sometimes certifications like ISTQB or relevant automation testing credentials are highly valued. Strong problem-solving skills, attention to detail, and effective communication stand out as crucial soft skills. These qualifications help ensure smooth automation processes, efficient workflow integration, and effective collaboration across development and QA teams.

Is Python automation a good career?

Python automation is a valuable career path as it involves developing scripts to streamline tasks, improve efficiency, and reduce manual effort across various industries. Professionals in this field often need strong programming skills, knowledge of automation tools, and problem-solving abilities. It offers opportunities for growth in roles such as automation engineer, DevOps engineer, and data analyst.

What can you do with Python automation?

Python automation involves using Python scripts and tools to streamline repetitive tasks such as data processing, file management, web scraping, and system administration. It is commonly used by Python automation jobs to improve efficiency, reduce manual effort, and integrate various software systems. Knowledge of libraries like pandas, Selenium, and automation frameworks is often required.

Which Python Automation job is in demand?

Python automation roles such as DevOps Engineer, Automation Engineer, and Scripting Specialist are in high demand across industries like technology, finance, and healthcare. These positions typically require skills in Python scripting, experience with automation tools like Ansible or Jenkins, and knowledge of cloud platforms such as AWS or Azure.

What are the most commonly searched types of Python Automation jobs in Virginia?

The most popular types of Python Automation jobs in Virginia are:

What are popular job titles related to Python Automation jobs in Virginia?

For Python Automation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Python Automation jobs in Virginia look for?

The top searched job categories for Python Automation jobs in Virginia are:

Python Automation jobs near you
Infographic showing various Python Automation job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $138,771 per year, or $66.7 per hour.

AI Developer/ AI Engineer (Python Development background)

Sage IT Inc

Reston, VA • On-site

$52.25 - $72/hr

Full-time

Re-posted 14 days ago

Job description


We have a job opportunity of a Role AI Developer with Python development background with given job description on fulltime . Please forward updated profiles to pkanthri@sageitinc.net .
Job Title: AI Developer with Python

Location: Reston, VA(Onsite)

 

Job Description

We are seeking a highly skilled AI Developer with a strong Python development background to design, develop, and deploy AI/ML-based applications and solutions. The ideal candidate should have hands-on experience in Python programming, machine learning frameworks, API integrations, and cloud technologies, along with a passion for building scalable AI-driven systems.

Key Responsibilities:

  • Design, develop, and implement AI/ML solutions using Python.
  • Build and optimize machine learning and deep learning models.
  • Develop scalable backend services and APIs for AI applications.
  • Work with structured and unstructured data for model training and analysis.
  • Integrate AI models with enterprise applications and cloud platforms.
  • Collaborate with cross-functional teams including Data Engineers, DevOps, and Business stakeholders.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Monitor, troubleshoot, and improve model performance in production environments.
  • Implement automation workflows and AI-powered tools.
  • Maintain code quality, documentation, and best development practices.

Required Skills:

  • Strong experience in Python development.
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or Hugging Face.
  • Knowledge of Generative AI, LLMs, NLP, or Computer Vision concepts.
  • Experience with REST APIs, FastAPI, Flask, or Django.
  • Hands-on experience with data processing libraries like Pandas, NumPy, and PySpark.
  • Familiarity with vector databases, embeddings, and RAG architecture is a plus.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git.
  • Understanding of SQL/NoSQL databases.
  • Strong problem-solving and analytical skills.