Senior Python Backend Engineer - Data & DB Optimization

AgileEngine, LLC.

Santiago de Querétaro

Hybrid

MXN 1,086,000 - 1,629,000

Full time

14 days+
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Benefits offered by this job

Professional growth
Competitive USD-based compensation
Projects with Fortune 500 clients
Flextime and remote/office options

Job summary

AgileEngine is a fast-growing software company delivering solutions for Fortune 500 brands and startups. We seek a Senior Backend Engineer focused on database optimization and scalable backend systems to handle high data volumes, especially for revenue-driving features.

You will lead data optimization efforts, design efficient back-end data processing, and develop robust software with a strong emphasis on performance, reliability, and clean code.

Qualifications

  • 4+ years of experience with Python.
  • Hands-on experience building tools using Streamlit for Snowflake.
  • Strong knowledge of SQL and Snowflake.
  • Experience with dbt (data build tool) for data transformation and modeling.

Responsibilities

  • Lead design and optimization of databases for performance, scalability, and efficiency.
  • Build and maintain scalable back-end systems handling high data volumes, focusing on revenue-driving features.
  • Design, develop, test, and maintain software applications with emphasis on performance and reliability.
  • Write clean, modular code following OOP principles, with proficiency in Python.
  • Collaborate with cross-functional teams to translate concepts into actionable software solutions.
  • Design and implement event-driven processes to improve data flow and system scalability.

Skills

Python development
SQL
Snowflake
Streamlit for Snowflake
dbt

Tools

Snowflake
Streamlit for Snowflake

Job description

AgileEngine is a fast-growing software company delivering solutions for Fortune 500 brands and startups. We seek a Senior Backend Engineer focused on database optimization and scalable backend systems to handle high data volumes, especially for revenue-driving features.

You will lead data optimization efforts, design efficient back-end data processing, and develop robust software with a strong emphasis on performance, reliability, and clean code.

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