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Python Financial Jobs in Virginia (NOW HIRING)

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

... financing firm. Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java ... and Scala, you will develop, test, and deploy end-to-end solutions using full-stack development ...

Senior Python Developer with Spark

Reston, VA · On-site

$126K - $170K/yr

Experience in financial services or regulated environments . Exposure to data visualization tools ... Python * SQL * Terraform * GitLab What you can expect from us: Together, as owners, let's turn ...

Python AWS Pyspark Developer

Reston, VA · On-site

$52.25 - $72/hr

Financial / Mortgage based background Qualifications 10+ years hands-on Python development experience for big data application. Extensive working experience in implementing scalable and efficient ...

Python AWS Pyspark Developer - JM

Reston, VA · On-site

$52.25 - $72/hr

Financial / Mortgage based background Qualifications 10+ years hands-on Python development experience for big data application. Extensive working experience in implementing scalable and efficient ...

Senior Python Developer

Chantilly, VA · On-site

$124K - $167K/yr

Develop and maintain full-stack applications using Python (Django) on the back end and React ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Senior Python Developer

Chantilly, VA · On-site

$124K - $167K/yr

Develop and maintain full-stack applications using Python (Django) on the back end and React ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

Senior Financial Analyst

Falls Church, VA · On-site

$110K - $165K/yr

This effort integrates tools such as SEMOSS, Python, R, and AI-driven analytics to develop ... Creating new financial documentation and dashboards for Program and Project Managers to manage ...

Showing results 21-40

Python Financial information

See Virginia salary details

$13

$58

$85

How much do python financial jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python financial 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 Financial?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What do Python Financial professionals do?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What are the key skills and qualifications needed to thrive in the Python Financial position?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being essential.

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

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

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

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

Infographic showing various Python Financial job openings in Virginia as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,887 per year, or $58.1 per hour.

Senior Spark & Python Developer

Mavens Guild

Mclean, VA • On-site

$122K - $165K/yr

Full-time

Re-posted 4 days ago


Job description

What we would like to see:

In a senior developer role, you will design and build data flow and data integration processes to enhance loss prevention technologies for a leading financing firm. Drawing from your vast hands-on experience in Python (PySpark), Spark, REST, Java, and Scala, you will develop, test, and deploy end-to-end solutions using full-stack development tools within AWS (EMR, S3) cloud based infrastructure.

A typical day as a Senior Spark Programmer:
  • Develop fault tolerant, streaming as well as batch data integration processes using Spark/PySpark, Java and performance enhanced SQL
  • Develop and lead development efforts of application programming interfaces to enable integration of fraud detection systems with a host of new reporting and data mining tools
  • Design and develop automation of data flow tasks and end-to-end process testing
  • Design and develop scalable frameworks to ingest, transform, store, and present loss prevention information to downstream systems
  • Implement and lead implementation of Agile best practices and a continuous integration ecosystem
  • Implement and lead implementation efforts of Spark/Python based solution architecture, scalable process frameworks, advanced analytics, and responsive RESTful services
What you will need to bring to the table:
  • 5+ years experience with processing of structured, unstructured and semi-structured data using in-memory cluster computing technologies, specifically with Spark
  • 5+ years experience as a Java programmer
  • 3+ years experience programming in Python (PySpark API)
  • 3+ years experience with cloud services offered through AWE, like EMR, Redshift, or S3
  • 3+ years experience in developing, testing and deploying RESTful APIs for high volume data streams
  • Experience with continuous integration tools like Jenkins
  • Experience working in a distributed computing infrastructure like Hadoop and/or Spark
  • Critical and analytical approach to solving technical problems
  • Excellent interpersonal skills and ability to clearly communicate highly technical concepts to business stakeholders and technical developers alike