Python Backend / Data Engineer

Boosty Labs; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Informal atmosphere

Lack of bureaucracy

20 days vacation

7 sick leaves

Job summary

Boosty Labs in the United States is looking for a Python backend engineer to design and scale data ingestion pipelines for a US-focused legal-tech platform.

You will build configurable source integrations, process documents through OCR, support search and data exploration, and help design a lightweight knowledge-graph layer with robust monitoring.

We offer remote work with flexible hours, an informal atmosphere, and generous time off (20 vacation days and 7 sick days).

Qualifications

• 3+ years of Python development experience.
• Strong commercial experience with FastAPI or similar Python backend frameworks.
• Experience building ETL and data-ingestion pipelines.
• Hands-on experience with Apache Airflow or similar orchestration tools.
• Understanding of scalable data-processing architectures.
• Experience integrating external APIs, feeds, scraping, or other data sources.
• Experience with document processing, OCR, search systems, or knowledge graphs is a strong advantage.
• Strong software architecture and OOP skills.

Responsibilities

• Design and implement scalable data-ingestion pipelines from multiple external sources.
• Build configurable source integrations that can be managed through an operations panel.
• Process documents through OCR, structured extraction, and data transformation pipelines.
• Categorize and classify large volumes of legal data.
• Build backend capabilities supporting search and data exploration.
• Help design a lightweight knowledge-graph layer for tracking relationships and changes in legal data.
• Implement monitoring and fallback mechanisms for unavailable or changed data sources.
• Maintain modular backend services with clear interfaces/contracts.

Skills

Python

FastAPI

ETL

Airflow

Data architecture

External APIs

OCR/Info retrieval

OOP/Software architecture

Job description

Our client is a US-focused legal-tech company building a platform that combines legal research, workflow automation, and AI-powered tools.

The project includes a legal data infrastructure that collects and processes data from official US legal sources, including laws, legislation, and court decisions.

• Requirements:
  • 3+ years of Python development experience
  • Strong commercial experience with FastAPI or similar Python backend frameworks
  • Experience building ETL and data-ingestion pipelines
  • Hands-on experience with Apache Airflow or similar orchestration tools
  • Understanding of scalable data-processing architectures
  • Experience integrating external APIs, feeds, scraping, or other data sources
  • Experience with document processing, OCR, search systems, or knowledge graphs is a strong advantage
  • Strong software architecture and OOP skills
• Responsibilities:
  • Design and implement scalable data-ingestion pipelines from multiple external sources.
  • Build configurable source integrations that can be managed through an operations panel.
  • Process documents through OCR, structured extraction, and data transformation pipelines.
  • Categorize and classify large volumes of legal data.
  • Build backend capabilities supporting search and data exploration.
  • Help design a lightweight knowledge-graph layer for tracking relationships and changes in legal data.
  • Implement monitoring and fallback mechanisms for unavailable or changed data sources.
  • Maintain modular backend services with clear interfaces/contracts
• What we offer:
  • Remote working format
  • Flexible working hours
  • Informal and friendly atmosphere
  • The ability to focus on your work: a lack of bureaucracy and micromanagement
  • 20 paid vacation days
  • 7 paid sick leaves
• Recruitment process:
  • Recruitment Interview
  • Technical Interview
  • Client Interview

Up to the market and more

Work-life balance

Work on product used by worlds largest financial institutions