Senior Python Data Engineer — Pipelines & APIs (Onsite)

LTM; Irving (TX); Presencial; USD 80 000 - 108 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical Plan

Disability Insurance

401(k) Plan

Life Insurance

Vacation & Holidays

Parental Leave

Resumo da oferta

LTM in Irving, Texas is seeking a Senior Data Engineer to design, develop, and maintain high-quality Python applications in the Python-Data space. This onsite role is based in Irving, TX, with responsibilities spanning data processing pipelines, backend services, and ongoing code quality practices through testing and reviews.

This position is suited for candidates with at least 3 years of experience, bringing a focus on building reliable Python components, integrating with databases, and

Qualificações

• Experience building data-driven Python applications and services.
• Strong collaboration with cross-functional teams to translate requirements.

Responsabilidades

• Develop efficient, reusable Python code for data-driven apps.
• Design and implement data processing pipelines and backend services.
• Maintain code quality with unit and integration tests; participate in code reviews.
• Optimize performance and troubleshoot production issues.
• Stay current with Python data technologies and best practices.
• Develop scalable data models and integrate with databases (relational and non-relational).
• Collaborate with data engineers and scientists on ingestion/processing workflows.
• Contribute to system design decisions and maintain documentation.

Conhecimentos

Python

Descrição da oferta de emprego

LTM in Irving, Texas is seeking a Senior Data Engineer to design, develop, and maintain high-quality Python applications in the Python-Data space. This onsite role is based in Irving, TX, with responsibilities spanning data processing pipelines, backend services, and ongoing code quality practices through testing and reviews.

This position is suited for candidates with at least 3 years of experience, bringing a focus on building reliable Python components, integrating with databases, and