Remote Python Engineer for AI Data Pipelines

Alignerr Corp.

França

Teletrabalho

EUR 55 000 - 124 000

Tempo parcial

há 30 horas
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Resumo da oferta

Alignerr is seeking an experienced Software Engineer – Python (Advanced) for a fully remote, hourly contract role. You will design and optimize Python code, work with real-world datasets, and craft robust data workflows to support AI-driven systems.

You will partner with stakeholders to translate requirements into concrete solutions, write efficient SQL, and continuously improve code quality and performance while maintaining documentation and best practices.

Qualificações

  • 4+ years of professional software engineering experience.
  • Advanced Python proficiency with clean architecture and debugging.
  • Hands-on experience with real-world datasets and data workflows.
  • Strong SQL skills, including data validation and complex queries.
  • Experience solving open-ended or client-facing technical problems.

Responsabilidades

  • Design, implement, and optimize advanced Python code for production systems.
  • Analyze and manipulate structured datasets to support workflows.
  • Write and optimize SQL queries to extract, transform, and validate data.
  • Review, debug, and improve existing codebases for performance and reliability.
  • Translate high-level requirements into concrete technical solutions.
  • Evaluate tradeoffs and communicate best-fit approaches clearly.
  • Document assumptions and implementation details with precision.

Conhecimentos

Advanced Python
SQL
Dataset handling
Client-facing problem solving

Ferramentas

REST APIs
Data pipelines

Descrição da oferta de emprego

Alignerr is seeking an experienced Software Engineer – Python (Advanced) for a fully remote, hourly contract role. You will design and optimize Python code, work with real-world datasets, and craft robust data workflows to support AI-driven systems.

You will partner with stakeholders to translate requirements into concrete solutions, write efficient SQL, and continuously improve code quality and performance while maintaining documentation and best practices.

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