ZipRecruiter

Log In

1

Python Jobs in Harrisonburg, VA (NOW HIRING)

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Required : • 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications • 3+ years of experience with raw coding of Python or Java, PostgreSQL or ...

SHINE Systems

Field Service Analyst

Charlottesville, VA · On-site

Technical knowledge, including working familiarity with languages such as Python, Java or HTML. SHINE Systems is an Equal Employment/Affirmative Action employer. All qualified applicants will receive ...

SHINE Systems

Field Service Analyst

Charlottesville, VA · On-site

$100K/yr

Technical knowledge, including working familiarity with languages such as Python, Java or HTML. SHINE Systems is an Equal Employment/Affirmative Action employer. All qualified applicants will receive ...

SHINE Systems

Field Service Analyst

Charlottesville, VA · On-site

Technical knowledge, including working familiarity with languages such as Python, Java or HTML. SHINE Systems is an Equal Employment/Affirmative Action employer. All qualified applicants will receive ...

Fisher Auto Parts

Merchandise Data Analyst

Staunton, VA · On-site

$50K - $65K/yr

Two to four years of experience writing Python scripts * Experience with BI tools such as Amazon QuickSight is a plus. * Strong attention to detail, planning and organizational skills. * Excellent ...

next page

Showing results 1-20

All JobsPython JobsPython Jobs in Harrisonburg, VA

Python information

See Harrisonburg, VA salary details

$12

$54

$80

How much do python jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for python in Harrisonburg, VA is $54.64, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.07 per hour, depending on experience, location, and employer.

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.

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 are the key skills and qualifications needed to thrive as a Python developer?

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 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 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.

Can I get a job with just Python?

A Python developer role typically requires proficiency in Python programming, along with knowledge of related tools like frameworks, libraries, and version control. While Python skills are essential, employers often prefer candidates with experience in problem-solving, data structures, and sometimes additional skills such as databases or web development. Certifications or practical projects can also enhance job prospects, but having only Python may limit opportunities for more advanced or specialized positions.

Does Python have good job opportunities?

Python developers have strong job prospects across various industries such as technology, finance, and data science. Proficiency in frameworks like Django or Flask and knowledge of data analysis tools can enhance employability, with many roles requiring experience in version control and problem-solving skills.

What jobs can I do with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity specialist. These jobs often require knowledge of frameworks, libraries, and tools like Django, Flask, Pandas, and TensorFlow, and may involve working in teams or on specific platforms. Python skills are valuable across industries such as technology, finance, healthcare, and research.

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.
More about Python jobs

What are the most commonly searched types of Python jobs in Harrisonburg, VA?

The most popular types of Python jobs in Harrisonburg, VA are:

What job categories do people searching Python jobs in Harrisonburg, VA look for?

The top searched job categories for Python jobs in Harrisonburg, VA are:

What cities near Harrisonburg, VA are hiring for Python jobs?

Cities near Harrisonburg, VA with the most Python job openings:

Python jobs near you
Infographic showing various Python job openings in Harrisonburg, VA as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $113,644 per year, or $54.6 per hour.

Data Engineer - Sr

NALLEY CONSULTING

Charlottesville, VA • On-site

$107K - $128K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. They are seeking a Senior Data Engineer who will lead data engineering activities, oversee the development and deployment of data pipelines, and mentor a team in a fast-paced environment.
Responsibilities:
• Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieving information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Creating various ML-based tools or processes such as recommendation engines or automated lead scoring systems.
• Performing statistical analysis, applies data mining techniques, and builds high quality prediction systems.
• Utilizing skills in data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and margining of disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms.
• Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics.
Qualifications:
Required:
• 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications
• 3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 3+ years of experience developing code for data manipulation, data analysis, or data modeling
• Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications
• Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
• Experience in the development of algorithms leveraging Python and SQL
• Experience with Python data science and visualization packages
• Experience with leading the development of solutions to complex problems
• Experience working within a TS environment with onsite development tools
• Experience with database administration or data analytics
• Experience with structured and unstructured data
• CompTIA Security+ certification
Preferred:
• 12+ years of experience in Extract, Transform, and Load (ETL) processes
• 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications
• 7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 7+ years of experience developing code for data manipulation, data analysis, or data modeling
• 3+ years of experience with AI and ML implementation and development
• Experience with DevSecOps tools, including GitHub
• Experience working within the Intel Community
• Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
• Experience with Streamlit, Tkinter
• Experience with Agile software development
Company:
Nalley Consulting provides consulting services to federal and state government agencies, specializing in intelligence consulting. Founded in 2013, the company is headquartered in Leesburg, USA, with a team of 11-50 employees. The company is currently Early Stage.

Apply