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Senior Python Software Engineer Jobs (NOW HIRING)

Realtech Services

Python Software Engineer

Jersey City, NJ · On-site

$55 - $60/hr

Python Software Engineer Location: Jersey City, NJ (Hybrid) MOI: 1st round virtual, 2nd round F2F. We are looking for a strong Software Engineer III to join the Global Markets UI Horizontal team to ...

Old Mission

Python Software Engineer

Chicago, IL · On-site +1

$150K - $225K/yr

About the Position We are on the lookout for Software Engineers who excel in Python. As a Software Engineer, you'll play a pivotal role on your team, taking ownership of cutting-edge projects. Your ...

MANTECH

CNO Python Software Engineer

Hanover, MD · On-site

$49.50 - $68.25/hr

MANTECH seeks a motivated, career- and customer-oriented CNO Python Software Engineer to join our team in Hanover, MD. This position supports critical mission requirements by delivering advanced ...

MANTECH

CNO Python Software Engineer

Hanover, MD · On-site

$49.50 - $68.25/hr

MANTECH seeks a motivated, career- and customer-oriented CNO Python Software Engineer to join our team in Hanover, MD. This position supports critical mission requirements by delivering advanced ...

Victory

Senior Python Engineer

Austin, TX · On-site +1

$120K - $162K/yr

About the Senior Python Engineer position Victory delivers high-quality software, solutions, and services to clients across various fields, including digital marketing, energy, and nutrition. As a ...

Old Mission

Python Software Engineer

Chicago, IL · On-site

They are seeking a Software Engineer who excels in Python to refine and advance their trading systems and applications, collaborating closely with quants, traders, and research teams.

MANTECH

CNO Python Software Engineer

Hanover, MD · On-site

MANTECH seeks a skilled and mission-focused CNO Python Software Engineer to join our team in Hanover, MD. In this role you will be providing specialized testing and evaluation capabilities tailored ...

1872 Consulting

Senior Python Developer

Reno, NV · Hybrid

$121K - $163K/yr

Senior Python DeveloperAustin, TX, Franklin, TN, Las Vegas, NV, or Reno, NV Hybrid - onsite 1-3 ... We're looking for a Senior Software Engineer to be responsible for analyzing, coding, writing, and ...

Victory

Senior Python Engineer

Austin, TX · On-site +1

$120K - $162K/yr

About the Senior Python Engineer position Victory delivers high-quality software, solutions, and services to clients across various fields, including digital marketing, energy, and nutrition. As a ...

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Senior Python Software Engineer information

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$142K

$195K

How much do senior python software engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for senior python software engineer in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What does a senior Python software engineer do?

A Senior Python Software Engineer designs, develops, tests, and maintains complex software applications using the Python programming language. They often lead or mentor junior developers, architect software solutions, and ensure best coding practices are followed. These professionals collaborate with cross-functional teams to deliver scalable and efficient systems, troubleshoot issues, and optimize application performance. Their expertise includes advanced knowledge of Python frameworks, libraries, and development tools, as well as experience with databases, APIs, and cloud services.

What are the key skills and qualifications needed to thrive as a senior Python software engineer?

To thrive as a Senior Python Software Engineer, you need advanced proficiency in Python programming, strong problem-solving abilities, and a solid background in computer science or a related field. Familiarity with frameworks like Django or Flask, experience with version control systems such as Git, and knowledge of cloud platforms and CI/CD tools are typically required. Leadership, effective communication, and mentorship skills help you collaborate with teams and guide junior developers. These skills ensure the delivery of robust, scalable software solutions and foster a productive, innovative development environment.

What are some common challenges faced by senior Python software engineers when leading complex projects, and how can they be addressed?

Senior Python Software Engineers often face challenges such as balancing hands-on coding with mentoring junior team members, managing technical debt, and designing scalable solutions. Successfully addressing these challenges involves clear communication, proactive code reviews, and effective prioritization of tasks. Collaborating closely with cross-functional teams and fostering a culture of knowledge sharing can also help ensure project success and team growth.

What is the difference between Senior Python Software Engineer vs Python Developer?

AspectSenior Python Software EngineerPython Developer
Required CredentialsBachelor's degree in CS or related field, experience in software engineeringBachelor's degree in CS or related field, coding proficiency
Work EnvironmentDesigning complex systems, leading projects, mentoringWriting code, developing applications, debugging
Employer & Industry UsageTech companies, startups, enterprise softwareWeb development, data analysis, automation projects
Common Search & Comparison IntentUnderstanding senior-level roles, responsibilities, and skillsEntry to mid-level coding roles, project involvement

The main difference between a Senior Python Software Engineer and a Python Developer lies in experience, responsibilities, and scope. Senior engineers typically lead projects, design system architecture, and mentor junior staff, while Python Developers focus on coding, application development, and implementation. Both roles require strong Python skills and relevant credentials, but senior roles demand more experience and leadership capabilities.

Which senior Python software engineer job is in demand?

Senior Python software engineering roles are in high demand across industries such as technology, finance, and healthcare, especially for positions involving data analysis, machine learning, and web development. Skills in frameworks like Django or Flask, along with experience in cloud platforms and version control, enhance job prospects in this field.
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Senior Python Software Engineer jobs near you
Infographic showing various Senior Python Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $141,976 per year, or $68.3 per hour.

Python Software Engineer - Financial Engineering

Risk Analytics Company

Guilford, CT • On-site

$100K - $205K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Python Software Engineer – Financial EngineeringPosition Overview
We are an Portfolio Risk Analytics Company seeking a highly skilled Python Software Engineer with a strong background in financial engineering to design, develop, and maintain quantitative financial applications. The ideal candidate has experience building analytical tools, pricing models, trading systems, or risk management platforms using Python and modern software engineering practices.
Responsibilities
  • Design, develop, and maintain Python applications for financial analysis and quantitative modeling.
  • Build and optimize pricing, valuation, and risk management models for financial instruments.
  • Develop data pipelines for processing market, economic, and alternative data.
  • Implement and maintain backtesting frameworks for trading and investment strategies.
  • Collaborate with quantitative researchers, traders, portfolio managers, and software engineers.
  • Optimize code for performance, scalability, and reliability.
  • Integrate applications with market data providers, databases, and APIs.
  • Write clean, maintainable, and well-documented code.
  • Develop automated testing and deployment pipelines.
  • Monitor production systems and troubleshoot technical issues.
Required Qualifications
  • Bachelor's, Master's, PhD's degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering, or a related quantitative field.
  • 3+ years of professional Python development experience.
  • Strong knowledge of object-oriented programming and software design principles.
  • Experience with financial engineering concepts, including:
    • Derivative pricing
    • Fixed income analytics
    • Portfolio optimization
    • Risk management
    • Time series analysis
  • Experience with Python libraries such as:
    • NumPy
    • Pandas
    • SciPy
    • Statsmodels
    • scikit-learn
  • Experience working with SQL databases.
  • Familiarity with REST APIs and cloud platforms.
  • Experience using Git and CI/CD workflows.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience developing algorithmic trading systems.
  • Knowledge of stochastic calculus, Monte Carlo simulation, and numerical optimization.
  • Familiarity with financial data providers (S&P, Bloomberg, Refinitiv, ICE, Polygon.io, etc.).
  • Experience with distributed computing or high-performance computing.
  • Knowledge of Docker, Kubernetes, or cloud infrastructure (AWS, Azure, or GCP).
  • Experience with machine learning applied to financial markets.
  • Familiarity with C++, Rust, or Java is a plus.
Technical Skills
  • Python
  • NumPy
  • Pandas
  • SciPy
  • SQL
  • Git
  • Linux
  • Docker
  • REST APIs
  • Financial Modeling
  • Quantitative Finance
  • Risk Analytics
  • Time Series Analysis
Desired Personal Attributes
  • Strong quantitative reasoning
  • Excellent communication skills
  • Attention to detail
  • Ability to work independently and collaboratively
  • Passion for financial markets and technology
  • Commitment to writing high-quality, maintainable software
Nice-to-Have Experience
  • Quantitative research
  • Options pricing
  • Fixed income analytics
  • Portfolio construction
  • Market risk or credit risk systems
  • Backtesting platforms
  • Financial data engineering
  • AI/ML applications in finance