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Python For Finance Jobs in Ashburn, VA (NOW HIRING)

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

... 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 ...

Mavens Guild

Senior Spark & Python Developer

Mclean, VA · On-site

$122K - $165K/yr

... 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 ...

Comcast

Python Engineer, Agentic AI

Washington, DC · On-site +1

$142K - $213K/yr

This role is ideal for someone early in their career who is passionate about Python, agentic ... physically, financially and emotionally through the big milestones and in your everyday life.

Truist

Software Engineer III (Python)

Washington, DC · On-site

$121K - $167K/yr

Automate operational workflows using Python . * Build and manage CI/CD pipelines using GitLab ... General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:

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All JobsPython For Finance JobsPython For Finance Jobs in Ashburn, VA

Python For Finance information

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How much do python for finance jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for python for finance in Ashburn, VA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.08 per hour, depending on experience, location, and employer.

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
What cities near Ashburn, VA are hiring for Python For Finance jobs? Cities near Ashburn, VA with the most Python For Finance job openings:
Python For Finance jobs near you
Infographic showing various Python For Finance job openings in Ashburn, VA as of June 2026, with employment types broken down into 3% As Needed, 5% Full Time, 69% Part Time, 2% Temporary, 20% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $124,689 per year, or $59.9 per hour.

Senior Spark & Python Developer

Mavens Guild

Mclean, VA • On-site

$122K - $165K/yr

Contractor

Posted 29 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
Employment Type: CONTRACTOR

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