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Entry Level Fastapi Jobs in Washington, DC (NOW HIRING)

Entry Level Fastapi information

See Washington, DC salary details

$14

$19

$25

How much do entry level fastapi jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for entry level fastapi in Washington, DC is $19.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $20.43 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level FastAPI Developer, and why are they important?

To thrive as an Entry Level FastAPI Developer, you generally need a solid understanding of Python programming, basic web development concepts, and familiarity with RESTful API design. Experience with FastAPI, version control systems like Git, and knowledge of database systems such as SQL or NoSQL are commonly required technical skills. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills that set candidates apart. These skills are important because they ensure the developer can build efficient, reliable APIs and collaborate effectively within a development team.

What are some common challenges faced by entry-level FastAPI developers when working on real-world projects?

Entry-level FastAPI developers often encounter challenges such as understanding asynchronous programming concepts, integrating FastAPI with databases, and managing dependencies in a growing project. Collaboration with backend and frontend teams may also require clear communication about API endpoints and data structures. However, these challenges provide valuable learning opportunities, and most teams offer mentorship and code reviews to help new developers build confidence and proficiency with FastAPI in a production environment.

What are Entry Level FastAPI jobs?

Entry Level FastAPI jobs are positions designed for individuals who are new to web development or backend engineering and want to work with FastAPI, a modern Python web framework. These roles typically involve assisting in building, testing, and maintaining RESTful APIs, learning best practices in API development, and collaborating with more senior developers. Entry-level candidates are expected to have a basic understanding of Python and web development concepts, but can grow their skills on the job. These positions are a great starting point for a career in backend or full-stack development, especially in companies using Python-based tech stacks.

What is the difference between Entry Level Fastapi vs Entry Level Django Developer?

AspectEntry Level FastapiEntry Level Django Developer
Required CredentialsBasic Python knowledge, some familiarity with APIsBasic Python knowledge, understanding of web frameworks
Work EnvironmentAPI development, microservices, backend projectsFull-stack or backend web development, content management
Industry UsageTech startups, SaaS companies, microservices architectureWeb applications, content-heavy sites, enterprise solutions

Entry Level Fastapi and Entry Level Django Developer roles both require Python skills but differ in focus. Fastapi emphasizes API and microservices development, while Django covers full-stack web development. Both are popular in tech industries, but Fastapi is often used for lightweight, high-performance APIs, whereas Django is suited for comprehensive web applications.

What are the most commonly searched types of Fastapi jobs in Washington, DC? The most popular types of Fastapi jobs in Washington, DC are:

Power Systems Software Engineer Student Employee

Electric Power Research Institute, Inc.

Washington, DC • On-site, Remote

$31 - $36/hr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

Job Title:
Power Systems Software Engineer Student Employee
Location:
Remote/Home Based
Job Summary and Description:
This is an exciting internship opportunity for a motivated student to play a meaningful role in modernizing critical power systems R&D software. You will contribute to the transition of our existing monolithic applications - centered around the Grid Analysis Toolkit (GAT) and Automation of Outage Coordination (AOC) - into a modern microservices architecture combined with a multi-agent AI platform.
You will help design, develop, and test new services and intelligent agents that will make power system analysis faster, more reproducible, scalable, and intelligent. This is a hands-on role where you will work directly with experienced power systems engineers on real research software that supports grid modernization.
Duties & Responsibilities
  • Design and develop microservices (primarily in Python/FastAPI) for key capabilities such as data ingestion, topology processing, power flow, contingency analysis, and outage coordination.
  • Implement and integrate AI agent workflows (using frameworks like LangGraph) that orchestrate complex research tasks and interact with the new microservices.
  • Wrap and modernize existing GAT library functions (topology processing, power flow, contingency analysis, model processing, time-series ingestion) into scalable services.
  • Build supporting infrastructure components (Docker containers, CI/CD pipelines, observability) on Microsoft Azure.
  • Ensure high reproducibility of results using tools such as MLflow and containerization.
  • Document technical designs, methodologies, and results; contribute to internal reports and presentations.
  • Participate in code reviews, architecture discussions, and agile-style team collaboration.
  • Support the gradual migration from the current monolith to the new architecture using incremental approaches.

Qualifications
Required:
  • Currently completed a Master's degree or pursuing PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong proficiency in Python.
  • Solid understanding of power system fundamentals (power flow, contingency analysis, grid modeling, etc.).
  • Experience (academic or personal projects) developing software applications.
  • Interest in modern software architecture, cloud computing, and AI.

Preferred / Strong Plus:
  • Experience with power systems analysis tools or libraries (GAT, PyPSA, MATPOWER, or similar).
  • Familiarity with any of the following: FastAPI, Docker, Kubernetes (AKS), Azure cloud services, PostgreSQL, GitHub Actions, or MLflow.
  • Exposure to microservices architecture, REST APIs, or event-driven systems.
  • Experience or strong interest in building AI agents / LLM-based workflows.
  • Knowledge of HTML5 / basic front-end development (a plus for building simple interfaces).

Ideal Candidate:
  • Master's student in Electrical/Computer Engineering with a focus on power systems software or software engineering for energy systems.
  • Passionate about both power systems engineering and modern software practices.
  • Strong analytical, problem-solving, technical writing, and presentation skills.
  • Self-motivated, able to work independently in a remote setting while collaborating effectively.

What You Will Gain:
  • Hands-on experience with cutting-edge software architecture (microservices + multi-agent systems) in a real power systems R&D environment.
  • Deep exposure to Azure cloud technologies and DevOps practices.
  • Opportunity to work with production-grade GAT and AOC tools that support grid reliability research.
  • Mentorship from experienced power systems and software engineers.
  • Valuable portfolio pieces (code, documentation, presentations) for your future career in energy tech or software engineering.
  • Potential for continued part-time or full-time collaboration after the internship.

Application Instructions
Please submit your resume, a brief cover letter (or statement of interest), and any relevant projects or GitHub repositories. In your application, please highlight any experience with Python, power system modeling, or modern software development.
The hourly rate range for Student positions are:
  • Undergraduate: $16-29 per hour
  • Masters: $27-33 per hour
  • Ph.D: $31-36 per hour

These ranges are an estimate, and the actual hourly rate may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The hourly rate may also be adjusted based on applicant's geographic location.
As an EPRI Student, you will not participate in EPRI's Benefit Programs which includes health insurance, retirement benefits, vacation, sick leave (except as set required by law) and holiday pay. However, as a Student employee you are eligible for the benefits of Social Security, State Disability Insurance, and Workers' Compensation Insurance.
For Student positions which require one to relocate to an EPRI office. Relocation assistance is not provided and the student will be responsible for covering all relocation costs/expenses.
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com