Boston, MA · On-site
$120 - $160/hr
API Development: Extend our FastAPI backend to serve new data products and support frontend ... Shipped something end-to-end, whether through internships, personal projects, or open-source work.
Boston, MA · On-site
$120 - $160/hr
API Development: Extend our FastAPI backend to serve new data products and support frontend ... Shipped something end-to-end, whether through internships, personal projects, or open-source work.
$8.69 - $9.90
2% of jobs
$9.90 - $11.11
4% of jobs
$11.11 - $12.31
14% of jobs
$12.78 is the 25th percentile. Wages below this are outliers.
$12.31 - $13.52
12% of jobs
$13.52 - $14.73
15% of jobs
The median wage is $14.90 / hr.
$14.73 - $15.93
18% of jobs
$17.11 is the 75th percentile. Wages above this are outliers.
$15.93 - $17.14
10% of jobs
$17.14 - $18.35
6% of jobs
$18.35 - $19.55
8% of jobs
$19.55 - $20.76
5% of jobs
$20.76 - $21.97
5% of jobs
$8
$15
$21
| Aspect | Internship Fastapi | Junior Backend Developer |
|---|---|---|
| Required Credentials | Basic programming knowledge, coursework, or self-study in Python and Fastapi | Degree in Computer Science or related field, some experience with backend frameworks |
| Work Environment | Internship setting, learning-focused, often in tech companies or startups | Full-time or part-time employment, collaborative team environment |
| Industry Usage | Entry-level, training, and skill development phase | Developing and maintaining backend services in production |
Internship Fastapi positions are designed for learners gaining hands-on experience with Fastapi and Python, often as part of an internship program. Junior Backend Developers are more experienced, responsible for building and maintaining backend systems in a professional setting. While internships focus on learning, junior roles involve applying skills to real-world projects.
For Internship Fastapi jobs in Brockton, MA, the most frequently searched job titles are:
Cities near Brockton, MA with the most Internship Fastapi job openings:
$120 - $160/hr
Other
Posted 15 days ago
Location: Boston
Type: Full-time, early technical hire
What you’ll help buildCustomer-Facing Interface: Help design and build the interface where customers explore building data, view energy simulations, and act on upgrade recommendations.
Data Pipelines & Integrations: Connect and normalize data from diverse sources (satellite imagery, utility records, building permits, economic data) into a unified format our models can use.
API Development: Extend our FastAPI backend to serve new data products and support frontend features.
Simulation Workflow: Contribute to the asynchronous job systems that run energy simulations at scale across thousands of buildings.
Month 1: Orientation & UI
Get up to speed on the core stack (Python, FastAPI, PostgreSQL, AWS).
Take ownership of your first front-end components and ship a customer facing feature to production.
Month 2: Start getting into the backend and data pipelines
Extend the API to support new data visualizations and customer workflows based on customer feedback and input.
Wrangle messy datasets: cleaning, formatting, and integrating sources that may require custom web scrapes, pdf parsing, etc. across different location granularities (e.g., county, state, federal).
Month 3: E2E ownerships
Own a feature from API design through frontend deployment.
Contribute to the feedback loop: how we ingest customer input and use it to improve outputs.
You have a deep understanding of our full analytics platform and can navigate the codebase with confidence.
You are shipping high-quality code across the entire stack, from frontend components to backend logic and AI integrations.
Engineering velocity is high because you are a proactive problem solver who can unblock yourself and others.
Data normalization: Buildings don't come with clean datasets. You'll figure out how to reconcile mismatched addresses, incomplete utility records, and inconsistent permit data into something usable.
Making dense outputs legible: Energy simulations produce a lot of numbers. You'll build interfaces that help non-technical users understand what matters and what to do next.
Fast iteration with real customers: We work directly with our users to improve our products, and want to ensure we are always developing new features that align with their vision.
Built and deployed web applications using Python and a modern JS framework (Svelte, React, Vue, or similar).
Designed REST APIs and worked with relational databases (PostgreSQL or equivalent).
Wrangled imperfect data—cleaning, transforming, or integrating datasets from multiple sources.
Shipped something end-to-end, whether through internships, personal projects, or open-source work.
CS degree or equivalent experience (new grads welcome!).
Early team ownership: You’ll join an experienced founding team—a former McKinsey partner, a technical founder with deep energy expertise, and an experienced operator.
Greenfield + real traction: We’ve proven the MVP and have paying customers—now we’re scaling to thousands of buildings.
Surface area that matters: Every feature you build directly contributes to bending the curve down on global emissions.
Intellectual Curiosity: A desire to learn the "why" behind building energy systems and AI models.
Pragmatic rigor: Measure, ship, iterate.
Low-ego collaboration: Teach, learn, and write things down.
Competitive salary + potential for equity (early-engineer level).