Remote Snowflake Data Engineer (Python) – Impactful Pipelines

BairesDev; Chile; Remote; CLP 88,063,000 - 127,202,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Home-office setup provided

Flexible hours

Paid parental leave and holidays

Global, multicultural team

Job summary

BairesDev, a global technology company, invites a Snowflake Data Engineer (Python) to design, develop, and optimize data pipelines for enterprise-scale data. You will align processing with software engineering best practices, ensuring high availability and scalable data architecture.

Join a 100% remote team working with top 1% talent; you will build pipelines, optimize queries and warehousing schemas, and contribute to analytics and BI initiatives while collaborating across time zones.

Qualifications

• 5+ years of experience in Data Engineering or Software Engineering.
• Experience 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 performance and cost efficiency.
• Build clean, structured data models that support 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 costs.

Skills

Data pipelines

Python

Data warehousing

Data modeling

Query optimization

English proficiency

Tools

Snowflake

Job description

BairesDev, a global technology company, invites a Snowflake Data Engineer (Python) to design, develop, and optimize data pipelines for enterprise-scale data. You will align processing with software engineering best practices, ensuring high availability and scalable data architecture.

Join a 100% remote team working with top 1% talent; you will build pipelines, optimize queries and warehousing schemas, and contribute to analytics and BI initiatives while collaborating across time zones.