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Python Data Jobs in Virginia (NOW HIRING)

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 ...

Tata Consultancy Service Limited

Engineer

Richmond, VA · On-site

$80K - $90K/yr

Must Have Technical/Functional Skills • SQL Server, Azure SQL, T-SQL • Python (data processing) • ETL / ELT pipeline development • Databricks, Apache Spark, PySpark • Data modeling ...

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with Python data science and visualization packages Clearance : Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to ...

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How much do python data jobs pay per hour?

As of Jul 9, 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 the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries.

What Python jobs are in demand?

Python data-related jobs in demand include data analyst, data scientist, machine learning engineer, and backend developer. These roles often require proficiency in libraries like Pandas, NumPy, and frameworks such as TensorFlow, with employers seeking strong programming skills and experience with data analysis or AI projects.

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 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.

Will AI replace Python devs?

Python developers are unlikely to be fully replaced by AI, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist with tasks like code generation and debugging, but human oversight remains essential for quality and innovation. Staying updated with new frameworks and machine learning techniques can help Python developers remain valuable in the evolving tech landscape.

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.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

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 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
Mid-Level Python Data Engineer [$320k/yr+] TS/SCI-FS Poly with Security Clearance

Mid-Level Python Data Engineer [$320k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Herndon, VA • On-site

$320K/yr

Other

Posted 6 days ago

Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Develop and automate data processing tasks using Python and SQL. • Integrate and transform structured and unstructured data from various sources, ensuring data quality and usability. • Work with cloud platforms like AWS and big data technologies including Apache Spark and Hadoop. • Manage data integration from APIs and relational databases. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 8+ years • Total Compensation: $320k+ yearly (tentative) Job Description: • Write robust and efficient Python and SQL scripts to automate data processing tasks. • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems. • Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability. • Ensure data structures are optimized for performance and scalability. • Provide technical guidance and support to ensure effective use of Palantir tools (or other ETL platforms) across teams. • Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets. • Ensure proper data transformation and curation to meet business and analytics requirements. • Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes. • Apply expertise in Dataflow, AWS, Apache Spark, Hadoop, Database Engineering, Software Development, and Restful Web Services. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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