Remote Backend Engineer Intern - Health Data Integrations

Veyrai Technologies Inc.; United States; Remote; USD 2,500 - 3,400; Full time

Benefits offered by this job

Stipend ₹25k/mo

Increase potential

Founding team access

Live projects

Future offer

Job summary

Nostavia is offering a Backend Engineering Intern – Health Data Integrations, a remote 6-month internship focused on building and maintaining third-party API integrations using Python, data pipelines, and automated tests for high-stakes enterprise clients.

You will work directly with the founding team, use PostgreSQL, Docker, and AWS, and produce clean, production-ready code with thorough technical docs for stakeholders.

Qualifications

• Strong practical Python programming fundamentals.
• Complex, well-structured projects available on GitHub to demonstrate development skills.
• Solid understanding of RESTful APIs and JSON processing.
• Knowledge of Data Structures and relational database queries using SQL.
• Comfortable with Git workflows and Linux/command-line environments.
• Hands-on experience using Claude Code to accelerate development, refactor code, and deliver robust solutions.
• Ability to work independently and maintain high engineering standards.

Responsibilities

• Build and maintain third-party API integrations using OAuth, webhooks, and event-driven data synchronization.
• Develop data normalization pipelines and validation rules.
• Create automated test suites for complex, high-throughput datasets.
• Maintain and scale database schemas and background workers.
• Work with PostgreSQL, Docker, and AWS.
• Write clean, maintainable, production-quality code.
• Prepare clear technical documentation for enterprise stakeholders.

Skills

Python

APIs/JSON

SQL

Git & Linux

Claude Code

Tools

Claude Code

PostgreSQL

Docker

AWS

GCP

FastAPI

Celery

Redis

Job description

Nostavia is offering a Backend Engineering Intern – Health Data Integrations, a remote 6-month internship focused on building and maintaining third-party API integrations using Python, data pipelines, and automated tests for high-stakes enterprise clients.

You will work directly with the founding team, use PostgreSQL, Docker, and AWS, and produce clean, production-ready code with thorough technical docs for stakeholders.