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Python Data Jobs in Virginia (NOW HIRING)

Palnar

Sr. Python Data Engineer

Mclean, VA · On-site

Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3 The role is to continue to ... This work involves building pipelines to get data into the platform, update drools based rules, and ...

eSolutionsFirst, LLC

Sr. Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

Python data processing technologies, e.g. Pandas, Numpy * Solid understanding on web applications, e.g. HTML, CSS, Javascript * Solid understanding on DB and SQL * Linux/Unix OS Preferred experience:

Beyond SOF

Data Engineer (TS/SCI)

Reston, VA · On-site

$119K - $143K/yr

Experience with Python data analytic modeling, including Pandas * Ability to prepare and analyze large complex data sets * Ability to perform middle-tier and back-end development * Ability to ...

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 ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

Master's preferred. • 3 years of data analysis, 1 year of machine learning. • Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

Master's preferred. • 3 years of data analysis, 1 year of machine learning. • Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Required qualifications * 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications * ​3+ years of experience with raw coding of Python or Java ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$113K - $136K/yr

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 ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

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 ...

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How much do python data jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python data in Virginia is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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

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

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

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

Python Data jobs near you
Infographic showing various Python Data job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,887 per year, or $58.1 per hour.

Sr. Python Data Engineer

Mclean, VA • On-site

Palnar
IT Services • 201 - 500 employees
Learn more about Palnarexternal

Full-time

Re-posted 23 days ago

Job description

Java is the primary language with some pipelines written in Python, knowledge of Spark, SQL and AWS will also be critical to succeed in the role.
Tech Stack: Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS S3
Job Description: The role is to continue to build our real time decisioning system for credit card transactions. This work involves building pipelines to get data into the platform, update drools based rules, and take the models built by our data science team and make them production ready and scalable. Candidate hired into this role will also expected to run and debug production infrastructure in the AWS environment. Java is the primary language with some pipelines written in Python, knowledge of Spark, SQL and AWS will also be critical to succeed in the role. Required experience with Python, Java, Spark, SQL, Databricks, RESTful APIs, AWS Glue, ECS, & S3

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