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Senior Fastapi Jobs (NOW HIRING)

Data Engineer (Senior)

San Francisco, CA ยท On-site

$200 - $250/hr

Role Overview We are looking for a Senior Data Engineer to build and own the data platform and ... The backend is built using Python (FastAPI) and supported by AWS services such as Lambda and ...

Senior Software Engineer

New York, NY ยท On-site

$200K - $275K/yr

Senior Software Engineer Location: New York, NY (on-site, 5 days a week) Compensation: $200,000 ... You'll work end-to-end across a Python/FastAPI backend, a Next.js/TypeScript dashboard, and the ...

Senior AI & Platforms Engineer

Brooklyn, NY

$113K - $156K/yr

Company Description Senior AI & Platforms Engineer Location: NYC, NY (3 days onsite minimum ... Python Expertise: Good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to ...

Senior AI & Platforms Engineer

Brooklyn, NY

$113K - $156K/yr

Company Description Senior AI & Platforms Engineer Location: NYC, NY (3 days onsite minimum ... Python Expertise: Good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to ...

Sr. AI/ML Engineer

Deerfield, IL ยท On-site

$106K - $145K/yr

AI/ML Engineer Senior Advisor Location: Chicago IL -Hybrid - 3 days/week onsite Duration: 6-12 ... Practical experience building and serving REST APIs for inference (TF Serving, TorchServe, FastAPI)

Senior Full Stack AI Developer (React/Next.js + Python + LLM) Location: Santa Clara, CA (Onsite ... Strong backend development experience with Node.js and/or Python (FastAPI preferred) . * Experience ...

$150 - $200/hr

Senior Manager - Data & Application Engineering Trending Job Info * Job Identification 19643 ... Developing APIs and microservices using FastAPI and Flask; Python and Shell scripting for ...

Senior AI & Platforms Engineer

Brooklyn, NY ยท On-site

$113K - $156K/yr

Company Description Senior AI & Platforms Engineer Location: NYC, NY (3 days onsite minimum ... Python Expertise: Good knowledge of advanced Python (Asyncio, FastAPI, Pytest) applied to ...

Senior Python Engineer

Manhattan, NY ยท On-site

$100 - $125/hr

Build and maintain production backend services and APIs in Python (FastAPI) * Implement retrieval ... You have a proven track record as a senior Python developer, with at least 5 years of professional ...

Showing results 21-40

Senior Fastapi information

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$25K

$80.3K

$163.5K

How much do senior fastapi jobs pay per year?

As of Sep 9, 2026, the average yearly pay for senior fastapi in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Fastapi vs Backend Developer?

AspectSenior FastapiBackend Developer
Primary FocusBuilding APIs with Fastapi frameworkDeveloping server-side logic across various frameworks
Required SkillsPython, Fastapi, async programming, REST API designPython, multiple frameworks (Django, Flask, Fastapi), database management
Work EnvironmentTech companies, startups, cloud-based projectsVaried industries, enterprise and startup environments
CertificationsPython certifications, Fastapi experiencePython certifications, general backend development certifications

Senior Fastapi specialists focus specifically on building high-performance APIs using the Fastapi framework, often requiring expertise in async programming and REST API design. Backend Developers have a broader scope, working across multiple frameworks and technologies to develop server-side logic. While both roles require Python skills, Senior Fastapi roles are more specialized, whereas Backend Developers have a wider range of tools and responsibilities.

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Infographic showing various Senior Fastapi job openings in the United States as of September 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Data Engineer (Senior)

San Francisco, CA โ€ข On-site

$200 - $250/hr

Other

Posted 7 days ago


Job description

San Francisco, United States | Posted on 08/10/2026

The client is building a global consumer neobank that combines banking, payments, and crypto into a single platform. The focus is on emerging markets, enabling users worldwide to move money seamlessly within the ecosystem. The company is led by a small team of highly experienced operators and engineers who have previously built products used by hundreds of millions of users and generated billions in revenue. The team operates with high ownership, minimal hierarchy, and a strong focus on execution.

Role Overview

We are looking for a Senior Data Engineer to build and own the data platform and infrastructure. The role involves designing systems that power transaction processing, analytics, reporting, and real-time insights across a global financial product. You will work on high-integrity financial data systems where correctness, auditability, and consistency are critical. The backend is built using Python (FastAPI) and supported by AWS services such as Lambda and Kinesis, along with PostgreSQL and Redis. You will collaborate closely with backend systems to ensure accurate data capture, transformation, and availability. This role includes greenfield opportunities where you will define architecture, data models, and pipeline design from scratch.

Requirements

Key Responsibilities

  • Build and maintain data pipelines and platforms with 5+ years of experience
  • Work on data modeling, ETL/ELT processes, and event-driven systems
  • Collaborate across backend systems using technologies like PostgreSQL, Redis, and AWS
  • Python (FastAPI)
  • AWS (Lambda, Kinesis)
  • Redis
Bonus Skills

Experience in financial technology

Full-stack engineering capabilities with flexibility across different parts of the stack

What We Offer

Immediate impact on products used by millions globally

Opportunity to shape technical vision and architecture

Ownership of major parts of the product and infrastructure

Fast-paced environment with minimal corporate overhead

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