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Api Python Jobs in Connecticut (NOW HIRING)

BMG360

Agentic Solutions Engineer

Shelton, CT

$130K/yr

If you love writing clean Python and TypeScript, building reliable API infrastructure, and want to work at the bleeding edge of AI tooling, this role was built for you. This is NOT a generalist DevOp ...

Saransh Inc

Back End Engineer

Hartford, CT · On-site

Strong proficiency in Python with experience in FastAPI and Pydantic. Solid understanding of RESTful API design, versioning, and documentation. Hands-on experience with AWS services: Lambda, API ...

PROLIM Global Corporation

Apigee Developer

Hartford, CT · On-site

... API onboarding workflows. • Programming skills in JavaScript and one or more languages such as Java, Python, or Node.js. • Familiarity with OpenAPI/Swagger, REST best practices, JSON/XML, and ...

BMG360

Agentic Solutions Engineer

Shelton, CT · On-site

... Python + TypeScript SDK of pre-built agent tools--platform API wrappers, data warehouse clients, webhook handlers--so new MCP servers and workflows can be stood up faster. • Support the Architect ...

Transcend Softech LLC

GCP Engineer

Hartford, CT · On-site

$50 - $55/hr

Experience with Python and Google Cloud SDK & API Scripting * GCP certifications (e.g., Google Cloud Professional Data Engineer) considered a plus. * Capable of designing scalable and efficient data ...

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

... DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration ...

Ritchie Bros.

Staff Software Engineer

Norwalk, CT

API Integration: Implement and harden enterprise-grade API integrations. Design robust interceptor ... Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ...

Whiz Global LLC

Data Warehouse Engineer

Salem, CT · On-site

Experience using Python for data engineering tasks * Knowledge of API development and system integration * Strong analytical, problem-solving, and communication skills * Demonstrated ability to ...

Ritchie Bros.

Staff Software Engineer

Norwalk, CT · On-site

$112K - $168K/yr

API Integration: Implement and harden enterprise-grade API integrations. Design robust interceptor ... Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ...

Nam Info Inc

Dataiku Developer

Stamford, CT · On-site

Strong knowledge of Python and SQL scripting; experience with API integrations. * Ability to evaluate multiple implementation approaches and recommend optimal solutions. * Exposure to data ...

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All JobsApi Python JobsApi Python Jobs in Connecticut

Api Python information

What are some common challenges faced by API Python developers when integrating third-party services, and how can they be addressed?

API Python developers often encounter challenges such as inconsistent documentation, rate limiting, and unexpected changes in third-party APIs. To address these, it's important to thoroughly read and test API documentation, implement robust error handling and retry logic, and use environment variables or configuration files to manage sensitive credentials. Developers should also stay updated on API version changes and participate in relevant developer communities to share solutions and best practices.

What is an API Python developer?

An API Python developer is a software professional who specializes in creating, implementing, and maintaining Application Programming Interfaces (APIs) using the Python programming language. Their main responsibilities include designing RESTful or GraphQL APIs, integrating third-party services, ensuring secure and efficient data exchange, and writing clean, scalable code. API Python developers often work closely with front-end developers and other back-end engineers to support seamless communication between different parts of a software system.

Which Python job is in demand?

Python development roles, including Python developers, data scientists, and backend engineers, are highly in demand across industries such as technology, finance, and healthcare. Skills in frameworks like Django or Flask, along with knowledge of APIs and data analysis, increase employability. Certifications and experience with cloud platforms can also enhance job prospects.

What is the difference between Api Python vs Data Analyst?

AspectApi PythonData Analyst
Required SkillsPython programming, API integration, data manipulationData visualization, statistical analysis, Excel, SQL
Work EnvironmentSoftware development, backend services, data pipelinesBusiness insights, reporting, data interpretation
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, consulting firms

Api Python focuses on developing and maintaining APIs using Python, emphasizing coding and technical skills. Data Analysts interpret data to provide business insights, often using tools like Excel and SQL. While Api Python roles are more technical and development-oriented, Data Analysts focus on analyzing data to support decision-making. Both roles may overlap in data handling but serve different primary functions within organizations.

Will AI replace Python devs?

AI is unlikely to fully replace Python developers, as their roles involve designing, maintaining, and optimizing AI systems, which require human expertise. Python developers also work on diverse tasks such as software development, data analysis, and automation that benefit from creative problem-solving and domain knowledge. AI tools can assist developers but are not a complete substitute for their skills and understanding of complex systems.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with version control and databases enhances employability.

How much do API developers make?

API Python developers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Skilled developers with expertise in RESTful APIs, Flask, or Django and relevant certifications tend to command higher salaries, especially in tech hubs or companies with complex integration needs.

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

To thrive as an API Python Developer, you need a solid understanding of Python programming, RESTful API design, and experience with frameworks like Flask or Django, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, API testing tools such as Postman, and containerization platforms like Docker is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top developers apart. These skills ensure robust, secure, and scalable API solutions that meet business requirements and facilitate seamless collaboration within development teams.
What are popular job titles related to Api Python jobs in Connecticut? For Api Python jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Api Python jobs in Connecticut look for? The top searched job categories for Api Python jobs in Connecticut are:
What cities in Connecticut are hiring for Api Python jobs? Cities in Connecticut with the most Api Python job openings:
Api Python jobs near you

Back End Engineer API & MCP Server On-site

Saransh Inc

Hartford, CT • On-site

Contractor

Re-posted 7 days ago

Job description

  • 13–15 years of software engineering experience, preferably in back-end and cloud-based environments.
  • Strong proficiency in Python, with experience in FastAPI and Pydantic.
  • Deep understanding of RESTful API design, versioning, and documentation.
  • Hands-on experience with AWS services: Lambda, API Gateway, ECS (Fargate or EC2-backed).
  • Practical experience with containerization using Docker or Podman.
  • Familiarity with CI/CD pipelines and Git-based workflows.
  • Strong understanding of microservices architecture and service orchestration.
  • Experience with asynchronous programming in Python (e.g., asyncio, aiohttp).
  • Exposure to infrastructure as code tools like Terraform or AWS CDK.
  • Experience with monitoring and logging (CloudWatch, Prometheus, Grafana).
  • Good understanding of API and cloud security best practices.

Additional Required Experience (as per latest guidelines):

  • Must have at least one hands-on implementation of a GenAI project.
  • Must have PoC/PoV experience with MCP (Model Context Protocol) or similar AI protocols for LLM integration.
  • Experience working on AI platform components or orchestration layers is a strong plus.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.