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Fastapi Jobs in Chicago, IL (NOW HIRING)

Data Engineering Principal

Chicago, IL · On-site

$150 - $210/hr

Build internal tools (Python, FastAPI/Flask, occasionally React) that automate operational workflows such as invoicing, ops data feeds, and reporting utilities. * Apply AI and LLM-based tooling ...

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

Practical experience building and serving REST APIs for inference (TF Serving, TorchServe, FastAPI) * Hands-on with MLOps tools: DVC, MLflow, Git, CI/CD, containerization (Docker/Kubernetes) * Cloud ...

Contribute to full-stack web application development using Python (FastAPI) for backend services and React for frontend interfaces that support platform operations and tooling. * Cloud Infrastructure:

Platform Software Engineer

Oak Brook, IL · On-site

$160K - $170K/yr

Contribute to full-stack web application development using Python (FastAPI) for backend services and React for frontend interfaces that support platform operations and tooling. * Cloud Infrastructure:

Contribute to full-stack web application development using Python (FastAPI) for backend services and React for frontend interfaces that support platform operations and tooling. * Cloud Infrastructure:

Senior AI ML Engineer

Chicago, IL · On-site

$120K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Python; model serving frameworks and API development such as FastAPI/MLflow; vector databases and embeddings; LangChain/LlamaIndex or similar orchestration; CI/CD; containerization; cloud deployment ...

Senior Backend Software Engineer

Chicago, IL · On-site +1

$165K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, develop, and maintain core backend APIs and services, primarily in Python and FastAPI * Translate complex product workflows into clear domain models, relational schemas, service boundaries ...

AI/ML Engineer (Senior Associate) - Remote

Chicago, IL · On-site

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption * Develop and manage data pipelines, including data collection ...

New

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

... FastAPI, Flask, or Django frameworks ✔ Experience with asynchronous Python programming and orchestration of parallel LLM/API calls ✔ Strong SQL skills with experience working on large-scale ...

Lead Software Engineer, Gen AI

Chicago, IL · On-site

$128K - $208K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and deploy services using FastAPI on AWS. * Collaborate with data scientists to refactor analytics solutions for production, ensuring scalability and efficiency. * Assist in the development ...

Showing results 21-40

Fastapi information

See Chicago, IL salary details

$122.7K

$138.6K

$156.5K

How much do fastapi jobs pay per year?

As of Aug 17, 2026, the average yearly pay for fastapi in Chicago, IL is $138,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,381.00 and $143,698.00 per year, depending on experience, location, and employer.

What is a FastAPI?

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.

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 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 most commonly searched types of Fastapi jobs in Chicago, IL?

The most popular types of Fastapi jobs in Chicago, IL are:

Infographic showing various Fastapi job openings in Chicago, IL as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $138,566 per year, or $66.6 per hour.

Data Engineering Principal

Better Trucks

Chicago, IL • On-site

$150 - $210/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Reporting to the Head of Data, Analytics, and Data Science, you will own the architecture and execution of Better Trucks' core data platform. You will partner closely with Analytics Engineering, BI, Finance, and Operations to turn fragmented, multi-source operational and financial data into standardized, trusted models that the business runs on.

Location: Remote (US) or Hybrid (Chicago)

Key Responsibilities & Requirements Data Platform Ownership
  • Design and build standardized data models that normalize complex, customer- and source-specific data (MongoDB, Postgres, Firestore, carrier and customer systems) into trusted schemas for pricing, finance, and operations.
  • Own core BigQuery and Dataform pipelines, including schema design, incremental modeling patterns, testing, and documentation.
  • Build and operate ingestion into the warehouse via Datastream, Cloud Functions, and custom connectors for systems without clean CDC paths.
  • Set technical direction for orchestration (Composer/Airflow), including job design, dependency management, and cost/performance tradeoffs.
  • Drive data integrity through anomaly detection, quality monitoring, and root-causing discrepancies before they erode trust in reporting.
  • Build internal tools (Python, FastAPI/Flask, occasionally React) that automate operational workflows such as invoicing, ops data feeds, and reporting utilities.
  • Apply AI and LLM-based tooling pragmatically to automate repetitive internal workflows and accelerate data engineering work, without introducing fragile or unmaintainable systems.
  • Partner with Analytics Engineering and BI to ensure core data models serve reporting and forecasting without duplicative downstream logic.
  • Review designs and code from other data engineers, and raise the technical bar without adding unnecessary process.
  • Make build-vs-buy and architecture decisions with profitability, maintainability, and team adoption in mind.
  • 8+ years of data engineering experience, including 2-3+ years operating at a staff/principal level of scope (org-wide architecture decisions, not just pipeline delivery).
  • Deep hands-on expertise in BigQuery or an equivalent cloud data warehouse, and SQL-based transformation tooling such as Dataform or dbt.
  • Strong Python skills for pipeline and tooling work, with experience building and maintaining production services (FastAPI, Flask, or equivalent).
  • Demonstrated experience designing standardized or normalized data models from heterogeneous, complex source systems.
  • Practical experience with workflow orchestration (Airflow, Composer, or equivalent) at production scale.
  • Track record of making data trustworthy, including testing, monitoring, anomaly detection, and incident response for data issues.
  • Strong analytical and communication skills, with the ability to explain technical tradeoffs to non-technical stakeholders in Finance and Operations.
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
Qualifications
  • Experience in last mile delivery, parcel logistics, transportation management, or another operationally intensive business where data quality directly affects P&L.
  • Experience with the GCP ecosystem, including Cloud Functions, Datastream, and Firestore.
  • Familiarity with BI tooling such as Looker, and with BI migration or governance efforts.
  • Hands-on experience with LLM-based tooling (e.g. Claude, GPT) for code generation, data pipeline automation, or internal agent/workflow tooling.
  • Experience in a high growth technology company.
Why Join Better Trucks?

Better Trucks is building the next generation of last mile logistics technology. Our software powers the delivery lifecycle from routing and driver assignment to real time operations, customer visibility, and delivery performance. We are looking for a Principal Product Manager to lead our Operations Product Stack and help shape the future of our platform.

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