Remote Snowflake Data Engineer (Python) - Pipelines

BairesDev; Colombia; Remote; COP 286,670,000 - 445,931,000; Full time

Benefits offered by this job

Remote work

USD or local currency compensation

Hardware provided

Flexible hours

Paid parental leave

Global, multicultural team

Job summary

BairesDev is hiring a Snowflake Data Engineer (Python) to design, develop, and optimize robust data pipelines for enterprise data across a remote, globally distributed team. You will ensure high availability, performance, and scalable data architectures while collaborating with colleagues worldwide.

We value advanced Python and Snowflake expertise, strong data modeling and warehousing knowledge, and excellent English communication to thrive in a 100% remote, flexible environment.

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

Python

Snowflake

Data pipelines

Data warehousing

Query optimization

English

Job description

BairesDev is hiring a Snowflake Data Engineer (Python) to design, develop, and optimize robust data pipelines for enterprise data across a remote, globally distributed team. You will ensure high availability, performance, and scalable data architectures while collaborating with colleagues worldwide.

We value advanced Python and Snowflake expertise, strong data modeling and warehousing knowledge, and excellent English communication to thrive in a 100% remote, flexible environment.