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Fastapi Jobs in Massachusetts (NOW HIRING)

Senior Software Engineer, Data

Cambridge, MA

$133K - $176K/yr

Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django). * Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster). * Full ...

Senior Software Engineer, App

Cambridge, MA ยท On-site

$133K - $176K/yr

Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic) * Hands on experience using AI coding assistants to drive ...

Debug, troubleshoot, and improve existing Python (FastAPI/SQLAlchemy) and TypeScript (React) codebases. * Build and maintain data pipelines (Python ETL) that power our real-time industrial monitoring ...

Senior Software Engineer, Data

Cambridge, MA ยท On-site

$144K - $288K/yr

Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django). * Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster). * Full ...

Software Engineer

Watertown, MA ยท On-site

$80K - $110K/yr

Debug, troubleshoot, and improve existing Python (FastAPI/SQLAlchemy) and TypeScript (React) codebases. * Build and maintain data pipelines (Python ETL) that power our real-time industrial monitoring ...

Senior Software Engineer, App

Cambridge, MA ยท On-site

$133K - $176K/yr

Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic) * Hands on experience using AI coding assistants to drive ...

Software Engineer

Watertown, MA ยท On-site

$80K - $110K/yr

Debug, troubleshoot, and improve existing Python (FastAPI/SQLAlchemy) and TypeScript (React) codebases. * Build and maintain data pipelines (Python ETL) that power our real-time industrial monitoring ...

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Showing results 1-20

Fastapi information

See Massachusetts salary details

$128.2K

$144.8K

$163.6K

How much do fastapi jobs pay per year?

As of Jul 9, 2026, the average yearly pay for fastapi in Massachusetts is $144,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,315.00 and $150,188.00 per year, depending on experience, location, and employer.

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Massachusetts? The most popular types of Fastapi jobs in Massachusetts are:
What job categories do people searching Fastapi jobs in Massachusetts look for? The top searched job categories for Fastapi jobs in Massachusetts are:
Infographic showing various Fastapi job openings in Massachusetts as of July 2026, with employment types broken down into 85% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $144,824 per year, or $69.6 per hour.

Automation Engineer - Scientific Data, AI/ML Pipelines & Integration Dev

Zifo

Boston, MA โ€ข On-site

$124K - $149K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Location: Boston, Indianapolis, RTP North Carolina & Chicago
Zifo is a global specialist scientific and process informatics services company supporting life sciences, biotech, and pharmaceutical organizations. We enable digital transformation across R&D, manufacturing, and quality by delivering data-driven, scalable, and compliant software solutions.
Zifo is seeking a passionate Software Developer who can work at the intersection of science, data, and technology. The role requires strong expertise in Benchling, Python, SQL/NoSQL, AWS and FastAPI, along with the ability to work directly with scientists performing assay-based experiments. The successful candidate will translate experimental workflows into robust data components, scientific system integrations, AI-enabled insights, and next-generation data pipelines
Requirements
  • Collaborate with scientists, assay teams, and lab operations to capture end-to-end assay and experimental workflows, from sample onboarding and execution through data ingestion, validation, and downstream analytics
  • Translate scientific and operational requirements into well-defined functional, technical, and data requirements for laboratory platforms, system integrations, and next-generation data pipelines
  • Design, develop, and maintain Python-based backend services, APIs, microservices, and data pipelines on AWS using FastAPI and supporting frameworks such as Flask or Django, including integrations with scientific systems such as Benchling, Signals, LIMS, ELN, CDS, and SDMS.
  • Design and optimize SQL and NoSQL data models and build ETL/ELT and next-generation data pipelines to support structured, semi-structured, and high-volume scientific data, analytics, and AI/ML workloads, including dataset preparation, feature engineering, and model integration into pipelines and applications.
  • Implement and maintain CI/CD pipelines for automated build, testing and deployment
  • Ensure solutions meet performance, data integrity, security, and regulatory compliance requirements (e.g., GxP, 21 CFR Part 11)
  • Perform code reviews, debugging, and performance optimization
  • Coordinate across cross-functional and geographically distributed teams, managing dependencies and ensuring delivery alignment
  • Create ready to deliver technical documentation and track deliverables using JIRA and Confluence

Required Qualifications
  • Bachelor's or master's degree in computer science, Engineering, Life Sciences with 3-8 years of hands-on experience in Python development with FastAPI
  • Proficiency in SQL, including schema design, complex queries, and performance optimization
  • Relational databases such as PostgreSQL, MySQL, Oracle, AWS RDS/Aurora, NoSQL databases such as DynamoDB, MongoDB, or equivalent
  • Experience with scientific data and laboratory informatics, including familiarity with Benchling or similar scientific data platforms ELN like Benchling, LIMS, ELN, SDMS, CDS,, within the life sciences or pharmaceutical industry. (Preferred)
  • AWS experience, including S3, EC2, Lambda, Step Functions, RDS / Aurora, IAM, monitoring, and logging
  • Proficiency with Git-based collaborative development, including branch management, pull requests, code reviews, and integration with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline) to ensure reliable and traceable software delivery
  • Hands-on experience with Test-Driven Development and Python testing frameworks such as pytest, unittest, and mocking libraries
  • Working knowledge of AI/ML concepts, including data preparation, feature engineering, model integration, and inference workflows
  • Exposure to the data and ML libraries such as pandas, NumPy, and scikit-learn (exposure to TensorFlow or PyTorch is a plus)
  • Ability to design data models aligned to scientific and assay workflows & integrating scientific or enterprise systems and working directly with scientists or lab users
  • Knowledge of containerization (Docker) and modern deployment best practices
  • Familiarity with Agile/Scrum & SDLC development methodologies & Solid understanding of REST APIs, microservices, and integration patterns
  • Strong communication, stakeholder engagement, and cross-team coordination skills

Additional Preferences
  • Willingness to travel/ relocate based on project or business needs
  • Ability to work in a fast-paced, client-focused environment
  • Comfortable managing cross-team coordination and dependency management, particularly across globally distributed teams and user groups

Benefits
CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team's knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies.
We look for Science - Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a "no doors" policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda - technical competency and cultural adaptability.
We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.
If you share these sentiments and are prepared for the atypical, then Zifo is your calling!
Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.