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Python Financial Jobs in Maryland (NOW HIRING)

14 West

Senior Financial Research Analyst

Baltimore, MD · On-site

$75K - $85K/yr

As a leading publisher of financial ideas, we help everyday investors navigate the markets with ... Working knowledge of trading software, data platforms, and tools such as Python, Excel, or ...

GliaCell Technologies

Senior Python Software Engineer

Laurel, MD · On-site

$170 - $230/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Python * Experience with GM Learn * Exploratory Data Analysis (EDA) * Experience ... Financial Planning Assistance * Bereavement and Jury Duty Leave * Monthly Team and Family Events

GliaCell Technologies

Principal Python Software Engineer

Laurel, MD · On-site

$200 - $280/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with Python * Experience with GM Learn * Exploratory Data Analysis (EDA) * Experience ... Financial Planning Assistance * Bereavement and Jury Duty Leave * Monthly Team and Family Events

EnerSys

Senior Finance AI & Automation Developer

Glen Burnie, MD · On-site +1

$95K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The role will partner with finance teams to map current processes, identify automation ... Experience with Python and/or other code languages required * 6 Sigma Black Belt certification ...

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Python Financial information

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How much do python financial jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python financial in Maryland is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $64.62 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 popular job titles related to Python Financial jobs in Maryland?

For Python Financial jobs in Maryland, the most frequently searched job titles are:

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

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

Python Financial jobs near you
Infographic showing various Python Financial job openings in Maryland as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,340 per year, or $56.9 per hour.

Mid Level Onsite Python Developer with CDE Experience

Futrend Technology, Inc.

Bethesda, MD • On-site

$90K - $110K/hr

Full-time

Re-posted 8 days ago

Job description

About Futrend Technology, Inc.
Futrend Technology, Inc. is a forward-thinking business and IT solutions provider supporting mission-critical federal programs. Our core practices include Healthcare IT, Federal Financial Management, and Grants Management. We specialize in enterprise-wide implementations, real-time system integration, and modernization initiatives using industry best practices and emerging technologies.
Our culture is rooted in integrity, excellence, collaboration, and continuous improvement. We actively invest in our people through professional development, modern tools, and strong team support. Futrend offers competitive compensation and a comprehensive benefits package.
Position Overview
We are seeking a Mid-Level Full Stack Software Engineer to support a high-visibility federal client. The ideal candidate is a versatile and independent technologist with strong problem-solving abilities, experience working across complex codebases, and the ability to contribute throughout the full software development lifecycle.
You will work in a collaborative Agile environment, contributing to system enhancements, application development, data integration activities, and modernization efforts.
Key Responsibilities
  • Design, develop, test, and maintain full‑stack applications in support of mission‑critical federal systems.
  • Work across front‑end and back‑end components, ensuring seamless integration and performant code.
  • Analyze requirements, propose technical solutions, and deliver enhancements with minimal supervision.
  • Collaborate with cross‑functional teams—including developers, analysts, architects, and QA—to support high‑quality software delivery.
  • Contribute to code reviews, design discussions, and architectural decisions.
  • Support data workflows, integration processes, and system modernization efforts.
  • Troubleshoot issues across the stack and provide timely resolution.
  • Stay current with modern development practices, frameworks, and technologies.
Core Qualifications (Required)
  • 5+ years of hands-on software application or systems development experience.
  • Strong proficiency in both procedural and object‑oriented programming, including familiarity with common design patterns.
  • Experience working within large, complex codebases spanning the full technology stack.
  • Ability to complete assignments independently with minimal oversight.
  • Strong communication skills and proven ability to collaborate effectively in team environments.
  • A self‑driven learner with a commitment to staying current with emerging technologies.
Preferred Qualifications
  • Experience with modern web development technologies such as HTML, CSS, JavaScript, Web APIs, JSON, Angular or React.
  • Experience with server‑side technologies such as TypeScript, Node.js, Express.js, Webpack, NPM, or equivalents.
  • Familiarity with functional or event-driven programming (callbacks, streaming, reactive programming, Promises/Futures).
  • Experience working in Linux environments, including shell programming.
  • Working knowledge of Python and libraries such as NumPy, Pandas, or scikit‑learn.
  • Experience with SQL, NoSQL (MongoDB), or Elasticsearch, and data pipelines or ETL processes.
  • Familiarity with Common Data Elements (CDEs) or healthcare/medical terminologies.
  • Knowledge of Kubernetes or other container orchestration platforms.
  • Experience with AWS or other cloud platforms, including cloud‑agnostic architectures.

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