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Python Back Jobs in Boston, MA (NOW HIRING)

OnCorps

Software Engineer

Boston, MA

Design, build, and maintain robust backend APIs and services using Python to power the core ... Prior exposure to middle- and/or back-office operations within the financial industry or fund ...

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Python Back information

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$14

$63

$93

How much do python back jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python back in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

Can I do backend in Python?

Yes, Python is widely used for backend development due to its simplicity and extensive libraries. Backend roles often require knowledge of frameworks like Django or Flask, database management, and API development.

Are Python still in demand in 2026?

Python developers remain in high demand in 2026 due to Python's widespread use in data analysis, machine learning, web development, and automation. Skills in frameworks like Django or Flask and proficiency with libraries such as Pandas or TensorFlow enhance job prospects for Python back-end developers.

Is Python in demand for backend?

Python is highly in demand for backend development due to its simplicity, versatility, and extensive libraries like Django and Flask. Many companies seek Python developers for building scalable, efficient server-side applications, making it a valuable skill for backend roles.

What is a Python Backend Developer?

A Python Backend Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language. They are responsible for creating APIs, managing databases, integrating with external services, and ensuring the overall performance and security of the backend systems. Python Backend Developers often work with frameworks like Django or Flask and collaborate with frontend developers to deliver seamless user experiences.

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

To thrive as a Python Backend Developer, you need strong programming skills in Python, a solid understanding of backend frameworks, and experience with APIs and databases, often supported by a relevant degree or certifications. Familiarity with tools like Django or Flask, RESTful API design, version control systems such as Git, and cloud platforms like AWS or Azure is typically required. Problem-solving, teamwork, and effective communication are crucial soft skills that set top performers apart. These competencies enable developers to build scalable, secure, and maintainable backend systems that meet business needs efficiently.

What jobs can I do with just Python?

With Python skills, you can work as a Python developer, data analyst, automation engineer, or backend programmer. These roles often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks such as scripting, data processing, or web development. Additional skills in databases, version control, and problem-solving enhance job prospects.

What is the difference between Python Back and Python Data Engineer?

AspectPython BackPython Data Engineer
Required CredentialsPython programming, basic database knowledgePython, SQL, data modeling certifications
Work EnvironmentBackend development teams, software companiesData teams, analytics departments
Industry UsageSoftware development, web servicesData analysis, big data projects
Common Search IntentBackend development with PythonData pipeline and infrastructure roles

Python Back focuses on backend development tasks using Python, such as server-side logic and API creation. Python Data Engineer specializes in building data pipelines, managing data storage, and working with large datasets. While both roles require Python skills, Python Data Engineers often need additional knowledge of SQL and data architecture. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges Python Backend Developers face when optimizing application performance?

Python Backend Developers often encounter challenges related to optimizing application speed and scalability, especially when handling large volumes of data or high user traffic. Issues such as inefficient database queries, memory leaks, and suboptimal code structures can impact performance. Developers typically address these by profiling code, implementing caching strategies, and leveraging asynchronous programming where appropriate. Collaborating with DevOps teams to monitor performance metrics and employing tools like Redis, Celery, or load balancers also play a significant role in overcoming these challenges.
What are popular job titles related to Python Back jobs in Boston, MA? For Python Back jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Python Back jobs in Boston, MA look for? The top searched job categories for Python Back jobs in Boston, MA are:
Python Back jobs near you

Full Stack Python Engineer, Senior Associate

JPMorganChase

Boston, MA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
JPMorganChase, through its subsidiary 55ip, is at the forefront of wealth and asset management technology. The role involves developing high-performance cloud-based web application solutions for quantitative research capabilities, collaborating with teams to deliver quality software solutions.
Responsibilities:
• Build high-performance cloud-based web application solutions to support quantitative research capabilities: back testing, simulations, machine learning, and other advanced analytics & algorithms
• Produce & maintain architectural & workflow diagrams.
• Work with product managers to set team priorities and deliverables.
• Participate in hands-on development to expedite finding resolutions.
• Participate in agile development team practices.
• Accountable for highest code quality, best practices, and standards.
• Perform code reviews ensuring quality meets the highest level of standards.
• Provide support during testing and post go-live to internal stakeholders.
• Work closely with quantitative researchers & developers to understand business requirements
• Collaborate with technology teams, to share common practices and develop firm-wide solutions of highest quality & scale.
Qualifications:
Required:
• Proficiency in Python, Pandas, Polars, GitHub/Bit-Bucket, Jenkins, Jira, and PostgreSQL.
• Strong experience with AWS cloud services, such as EC2, EKS, RDS, ElastiCache, S3, Lambda, Secrets Manager, CloudWatch
• Experience with Django, Redis, and React
• Clear understanding of OOP and software design constructs within a Python context.
• Strong understanding and experience in all aspects of software development lifecycle
• Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
• 6 years of experience in relevant software development
• Bachelor's degree (or equivalent) in Computer, Electronic or IT Engineering.
• Excellent communication (written and oral) and presentation skills.
• Ability to work with quant researchers, developers, and portfolio analysts to understand requirements.
• Strong attention to detail, pride in delivering high quality work and willingness to learn
Preferred:
• Experience with Terraform
• AWS certifications
• Exposure to financial capital markets data and trading applications, working with investment data
• Experience with project workflow tools such as Jira in an Agile-Scrum environment
• Knowledge of Linux
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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