Senior Python Backend Engineer – Data & Snowflake

AgileEngine, LLC.

Bogotá ciudad

On-site

COP 291,290,000 - 388,387,000

Full time

14 days+
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Benefits offered by this job

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Job summary

AgileEngine, LLC. in Bogotá is seeking a Senior Backend Engineer focused on database optimization and scalable software development.

You will lead initiatives to enhance data performance and build robust backend systems capable of handling high data volumes for revenue-driving features. The role requires deep Python expertise, data tooling, and collaboration with cross-functional teams to implement efficient event-driven data flows while delivering clean, reliable 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 for data transformation and modeling.

Responsibilities

  • Data optimization and database performance: lead design and optimization of databases for performance and scalability.
  • Back-End Data Processing: build and maintain scalable back-end systems for high data volumes.
  • Software Development: design, develop, test, and maintain fast, reliable software.
  • OOP and Clean Code: write modular Python code following OOP principles.
  • Collaborative Problem Solving: work with cross-functional teams to deliver effective solutions.
  • Event-Driven Processes: design and implement event-driven data flows across systems.

Skills

Python
SQL
Streamlit
Data modeling

Tools

Snowflake
dbt

Job description

AgileEngine, LLC. in Bogotá is seeking a Senior Backend Engineer focused on database optimization and scalable software development.

You will lead initiatives to enhance data performance and build robust backend systems capable of handling high data volumes for revenue-driving features. The role requires deep Python expertise, data tooling, and collaboration with cross-functional teams to implement efficient event-driven data flows while delivering clean, reliable code.

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