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Fastapi Developer Jobs in Fairfield, CT (NOW HIRING)

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Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to ... engineering tasks.

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ... Tool Engineering for Agents : Design and implement "Agent-Ready" APIs using Pydantic for strict ...

Senior Staff Software Engineer

Norwalk, CT · On-site

$123K - $162K/yr

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ... Tool Engineering for Agents : Design and implement "Agent-Ready" APIs using Pydantic for strict ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing ... Preferred : • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis ...

They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing ... Preferred : • Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis ...

This is NOT a generalist DevOps or data engineering role. You specialize in API-first design, MCP ... FastAPI, Django/DRF, Celery, Pydantic, httpx, pytest--production-grade Python is your default.

This is NOT a generalist DevOps or data engineering role. You specialize in API‑first design, MCP ... TECHNICAL SKILLS: * Python: FastAPI, Django/DRF, Celery, Pydantic, httpx, pytest ...

They are seeking an Agentic Solutions Engineer to design, develop, and maintain the API-first ... FastAPI, Django/DRF, Celery, Pydantic, httpx, pytest--production-grade Python is your default. • ...

Fastapi Developer information

See Fairfield, CT salary details

$17

$52

$81

How much do fastapi developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for fastapi developer in Fairfield, CT is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $40.24 and $64.42 per hour, depending on experience, location, and employer.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the most commonly searched types of Fastapi Developer jobs in Fairfield, CT?

The most popular types of Fastapi Developer jobs in Fairfield, CT are:

What job categories do people searching Fastapi Developer jobs in Fairfield, CT look for?

The top searched job categories for Fastapi Developer jobs in Fairfield, CT are:

What cities near Fairfield, CT are hiring for Fastapi Developer jobs?

Cities near Fairfield, CT with the most Fastapi Developer job openings:

Infographic showing various Fastapi Developer job openings in Fairfield, CT as of August 2026, with employment types broken down into 74% Full Time, 11% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $109,494 per year, or $52.6 per hour.

Senior Staff Data Engineer - Python / GCP

Stamford, CT • Remote

Search Solutions
Recruiting and Staffing Services • 1 - 10 employees

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

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Job description

Senior Staff Data Engineer is a hands-on role and will be the primary architect and technical lead for the data infrastructure powering our next-generation Agentic AI products. Acting as a hands-on leader, you are responsible for the team’s overall delivery, translating complex product requirements into actionable technical tasks for a small engineering squad. You will design the multi-modal data stores (Vector and Graph) that serve as the "Active Memory" for autonomous agents while remaining deeply embedded in the codebase to drive execution.

Key Responsibilities

● Technical Execution: Lead the technical delivery by translating high-level product roadmaps into actionable development cycles. You will own the task breakdown and manage the workflow to ensure high-quality output from the team

● Strategic Data Architecture: Architect and directly implement multi-modal data pipelines that process structured parts catalogs and unstructured sources (PDFs, Word, PNG/SVG diagrams) into specialized Vector and Graph data stores.

● Knowledge Layer Development: Design and optimize the storage of embeddings in Vector Databases (e.g., Pinecone, ChromaDB, Vertex AI Search) and Graph Databases (e.g., FalkorDB, Neo4j) to enable multi-step agentic reasoning across disparate data sources.

● Agent-Driven Development: Deeply integrate autonomous coding agents into your daily workflow to plan, generate, and refactor data infrastructure and microservices.

● Evaluation Pipelines: Collaborate with AI Engineers to build "Gold Dataset" pipelines used for the automated verification, retrieval quality measurement, and "confidence scoring" of AI outputs.

● Microservices: Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to provide structured, validated data.

● Cloud Operations: Deploy and monitor high-scale data workloads on GCP (Vertex AI, BigQuery), ensuring system reliability, security, and cost-effectiveness


Skills and Experience


10+ years of Software/Data Engineering experience, with a proven history of leading technical teams.

Proven track record of designing and building production-grade AI data systems.


Technical Stack: Advanced Python (FastAPI, Pydantic, SQLAlchemy) and SQL mastery for building scalable microservices.

AI: Hands-on experience with Vector Databases (Pinecone, ChromaDB), RAG pipelines, and GraphRAG patterns.

Data Tooling: Deep experience with Prefect (preferred) or Apache Airflow or Cloud Composer, BigQuery, and DataProc.

Cloud Infrastructure: Experienced in working with cloud platforms (GCP, AWS) and deploying data workloads and pipelines at scale.

Coding Agent: Demonstrated proficiency in using coding agents to accelerate the SDLC and plan and code complex engineering tasks.