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Python Back Jobs in Boston, MA (NOW HIRING)

Arrowstreet Capital LP

Quantitative Developer

Boston, MA · On-site

$150K - $250K/yr

... back-testing the signals, and producing return, risk and trading cost forecasts based on the ... Writing and maintaining Python and R code that supports the investment research production ...

Arrowstreetcapital

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

... back-testing the signals, and producing return, risk and trading cost forecasts based on the ... Writing and maintaining Python and R code that supports the investment research production ...

Arrowstreet Capital LP

Quantitative Developer

Boston, MA · On-site

$155K - $260K/yr

... back-testing the signals, and producing return, risk and trading cost forecasts based on the ... Writing and maintaining Python and R code that supports the investment research production ...

Arrowstreetcapital

Quantitative Developer

Boston, MA · On-site

$150K - $250K/yr

... back-testing the signals, and producing return, risk and trading cost forecasts based on the ... Writing and maintaining Python and R code that supports the investment research production ...

Arrowstreet Capital

Quantitative Developer

Boston, MA

$155K - $260K/yr

... back-testing the signals, and producing return, risk and trading cost forecasts based on the ... Writing and maintaining Python and R code that supports the investment research production ...

Arrowstreet Capital

Quantitative Developer

Boston, MA

$150K - $250K/yr

... back-testing the signals, and producing return, risk and trading cost forecasts based on the ... Writing and maintaining Python and R code that supports the investment research production ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

... feed-back loops * Apply and deploy established and novel statistical and machine learning ... Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

... feed-back loops * Apply and deploy established and novel statistical and machine learning ... Proficiency in Python, MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with ...

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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
Senior Quantitative Developer

Senior Quantitative Developer

Arrowstreet Capital LP

Boston, MA • On-site

$170K - $325K/yr

Full-time

Posted 14 days ago

Job description

Job Overview
We are looking for an experienced Quantitative Developer, to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.
Our development team within Research is responsible for the tools, APIs, libraries and software engineering techniques to support faster generation, evaluation and productionization of investment ideas.
As a Quantitative Developer, you will help build our next-generation Research data platform leveraging open-source, cloud and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team.
Responsibilities:
  • Writing and maintaining Python libraries that supports the investment research production processes
  • Designing and creating software to enhance our data science technology stack
  • Design and implement financial data APIs and numerical APIs
  • Apply cloud and distributed computing technologies
  • Implementing performance improvements in our data analysis and numerical programming code
  • Running POCs to evaluate new technologies and libraries in the PyData ecosystem
  • Working with software engineers to design feeds for new data sources from third-party vendors
  • Propose and lead implementations of major components or features in our data science platform
  • Mentor, train and provide technical guidance to junior team members in design and coding standards
  • Other projects based on experience and interest.

Qualifications:
  • An undergraduate or graduate degree from an educational institution in computer science
  • 5+ years of experience working as a Quantitative Developer or a in a related role
  • Strong analytical and problem solving skills
  • Expert programming skills in Python, experience implementing production-grade Python code
  • Experience in OOP paradigms, data structures, and numerical algorithms
  • Data storage: RDBMS, S3, columnar databases, NOSQL databases
  • Distributed computing: Spark, Dask, or HPC
  • Understanding/interest in probability and statistics, including linear regression and time-series analysis
  • Curiosity and a willingness to learn new technologies
  • Interest in financial markets (prior experience not required)
  • Excellent communication skills
  • High energy and strong work ethic

In addition, experience with any of the following would be valuable:
  • Hadoop, Spark, Kafka, and related technologies
  • Unix/Linux system tools and environment
  • Basic familiarity with unit testing, continuous integration, DevOps, containerization
  • Interactive data visualization and dashboards

The base salary range for this position is $170,000 - $325,000 per year.
Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate's base salary placement within the listed range will vary based on the candidate's relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process.
Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world.
All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.
Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

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