Remote Snowflake Data Engineer (Python) | Flexible Hours

BairesDev; Comisión de Fomento de Perú; Remote; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

Remote work

USD salary option

Home setup

Flexible hours

Paid parental leave

National holidays

Mentorship & growth

Global collaboration

Job summary

BairesDev is seeking a Snowflake Data Engineer (Python) to design, develop, and optimize robust data pipelines for enterprise-scale analytics. You will align data processing with software engineering best practices to ensure high availability, performance, and scalability across the data architecture.

This is a 100% remote, globally oriented role with flexible hours. You will work with a diverse, world-class team to build scalable data models, pipelines, and dashboards that empower data-driven

Qualifications

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building and optimizing data pipelines using Python and Snowflake.
• Strong proficiency in data warehousing concepts and data modeling solutions.
• Hands-on experience with database performance tuning and query optimization.
• Advanced proficiency in English.

Responsibilities

• Design and implement scalable data processing pipelines to ingest and transform large datasets.
• Optimize database structures, queries, and warehousing schemas for maximum performance and cost efficiency.
• Build clean, structured data models that serve as a reliable foundation for analytics and business intelligence.
• Implement data validation, cleaning, and quality checks throughout the data lifecycle.
• Conduct regular performance tuning and troubleshooting to minimize latency and manage execution costs.

Skills

Data engineering experience

Python

Snowflake

Data warehousing

Data modeling

Query optimization

English

Job description

BairesDev is seeking a Snowflake Data Engineer (Python) to design, develop, and optimize robust data pipelines for enterprise-scale analytics. You will align data processing with software engineering best practices to ensure high availability, performance, and scalability across the data architecture.

This is a 100% remote, globally oriented role with flexible hours. You will work with a diverse, world-class team to build scalable data models, pipelines, and dashboards that empower data-driven