Senior Python Data Engineer — AWS & Data Pipelines

3Pillar Global, Inc.; México; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Life Insurance

15 days paid vacation

Vacation bonus

Sick leave

Profit sharing

Work from home allowance

Professional certifications

Descripción de la vacante

3Pillar Global, Inc. is seeking a Senior Data Python + AWS Engineer to build robust data pipelines and models, process research data from instruments, and deliver dashboards. This role emphasizes Python/SQL proficiency and collaboration with product teams in a remote-first environment.

The position involves deploying in AWS, crafting scalable data architectures, and contributing to AI/LLM-driven data solutions for clients in tech and biotech sectors.

Formación

• 5+ years of experience building data solutions as a Data Engineer or similar.
• 3+ years of Python and SQL experience focused on data.
• Experience with data plotting/dashboarding tools like Streamlit, Tableau, and Jupyter Notebook is a plus.
• Strong communication skills and ability to drive project delivery.

Responsabilidades

• Develop and refine strategies for acquiring research data from scientific instruments.
• Engineer and operationalize file parsers for diverse formats (.xlsx, .pdf, .txt, .raw, .fid, etc.).
• Architect scalable data models and data pipelines with tests and utilities.
• Compare datasets to design shared, extensible data model components.
• Create visualizations and dashboards using Streamlit, Tableau, Jupyter Notebook.

Conocimientos

Python

SQL

Data pipelines

Data modeling

Streamlit

Tableau

Jupyter Notebook

Communication skills

Educación

Biology or chemistry degree

Relevant field or 3+ years biotech/pharma data experience

Herramientas

AWS

DevOps in cloud

Descripción del empleo

3Pillar Global, Inc. is seeking a Senior Data Python + AWS Engineer to build robust data pipelines and models, process research data from instruments, and deliver dashboards. This role emphasizes Python/SQL proficiency and collaboration with product teams in a remote-first environment.

The position involves deploying in AWS, crafting scalable data architectures, and contributing to AI/LLM-driven data solutions for clients in tech and biotech sectors.