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Python Data Jobs in Virginia (NOW HIRING)

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 ...

Booz Allen Hamilton, Inc.

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 ...

Booz Allen Hamilton, Inc.

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 ...

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 ...

WorkNovas LLC

Python Developer

Mclean, VA · On-site

$50.75 - $70/hr

Work with Snowflake for data warehousing, migration, and advanced analytics. Basic Requirements: * 5+ years of Python and coding experience is a must. * 5+ years of hands-on experience with SQL ...

Steampunk

Data Solution Architect

Mclean, VA · On-site

$140K - $180K/yr

R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. * Search tools: Solr, Lucene, Elasticsearch * Object-oriented/scripting languages: Python, Java, C++, Scala, etc.

Steampunk

Data Solution Architect

Mclean, VA · Hybrid

$140K - $180K/yr

R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. * Search tools: Solr, Lucene, Elasticsearch * Object-oriented/scripting languages: Python, Java, C++, Scala, etc.

Steampunk

Data Solution Architect

Mclean, VA · Hybrid

$140K - $180K/yr

R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. * Search tools: Solr, Lucene, Elasticsearch * Object-oriented/scripting languages: Python, Java, C++, Scala, etc.

Cornerstone Defense

Python Developer

Chantilly, VA · On-site

$51.50 - $71/hr

Job #3456 Python Developer: w orks as part of a team to implement functionality as part of multiple efforts to build data processing applications while taking ownership of architectural design ...

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All JobsPython Data JobsPython Data Jobs in Virginia

Python Data information

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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.

Data Conversion Specialist - Falls Church, VA

Falls Church, VA • On-site

Creative Information Technology, Inc.
IT Services • 201 - 500 employees
Learn more about Creative Information Technology, Inc.external

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Re-posted 4 days ago

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Conversion Specialist – Falls Church, VA

Contract Falls Church, VA, US

23 days ago Requisition ID: 1856

Data Conversion Specialist – Falls Church, VA

About us

Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.

Join us in driving growth and seizing new business opportunities.

Role and Responsibilities
  • The Data Conversion Specialist is responsible for designing, developing, testing, and executing data migration and conversion solutions to move data from legacy systems into CITI's enterprise solutions. This role partners closely with clients, business stakeholders, and project teams to deliver high-quality data migration solutions while ensuring data accuracy, integrity, and compliance.
  • The ideal candidate possesses strong expertise in SQL Server, Azure SQL, Azure Data Factory (ADF), Python, data validation, data reconciliation, and data quality management, as well as excellent client-facing communication skills.

Data Migration & Conversion

  • Lead and support end-to-end data migration and conversion activities.
  • Extract, analyze, transform, and migrate large volumes of structured and unstructured data.
  • Analyze source and target system data models and develop data mapping and transformation rules.
  • Design and develop migration routines, stored procedures, functions, views, and ADF pipelines using SQL Server and Azure technologies.
  • Perform data profiling, cleansing, validation, integrity testing, and reconciliation to ensure data accuracy and completeness.
  • Develop and maintain migration documentation, mapping specifications, validation reports, and deployment runbooks.
  • Design, develop, deploy, and maintain scalable ETL/ELT solutions using Azure Data Factory.
  • Build and optimize data ingestion and transformation workflows.
  • Ensure data quality, lineage, and governance throughout the data migration lifecycle.
  • Monitor, troubleshoot, and optimize pipeline performance.
  • Develop solutions using:
  • Python
  • Evaluate and implement new Azure and AI-driven technologies to improve migration efficiency, automation, and data quality.

Client Engagement & Delivery

  • Work directly with clients and stakeholders to gather requirements and define migration strategies.
  • Provide migration status updates and communicate risks, issues, and dependencies.
  • Partner with business and technical teams to resolve data-related challenges and ensure successful project delivery.

Problem Solving & Quality Assurance

  • Troubleshoot and resolve data migration, validation, and integration issues.
  • Apply strong analytical and critical-thinking skills to identify risks and recommend solutions.
  • Maintain a high level of accuracy, attention to detail, and quality in all deliverables
  • Bachelor’s or Master’s degree in computer science, Computer Engineering, Software Engineering, or a related field.
  • 6+ years of experience in data migration, ETL, data engineering, or data conversion projects.
  • Strong expertise in:
    • Microsoft SQL Server (T-SQL, Stored Procedures)
    • Azure SQL Database
    • Azure Data Factory (ADF)
    • Data Validation & Integrity Testing
    • Data Reconciliation
    • Data Quality & Data Cleansing
  • Experience working directly with clients and business stakeholders.
  • Excellent verbal and written communication skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Must reside in the United States and be legally authorized to work in the United States.
Preferred Qualification
  • Python development and automation experience.
  • Experience preparing and transforming datasets for AI/ML solutions.
  • Knowledge of Azure AI Services.
  • Experience with Health and Human Services (HHS) data.
  • Familiarity with Azure-hosted enterprise applications and cloud solutions.
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