Remote Snowflake Data Engineer (Python) – Pipelines

BairesDev; Bogotá ciudad; A distancia; COP 291.290.000 - 420.753.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD or local currency payment

Home hardware provided

Flexible hours

Parental leaves

Holidays

Global team mentorship

Descripción de la vacante

BairesDev is seeking a Snowflake Data Engineer (Python) to design, build, and optimize data pipelines for enterprise-scale analytics. You will leverage Python and Snowflake to deliver scalable structures, data models, and high-performance warehousing capabilities.

Join a 100% remote, globally distributed team and enjoy flexible hours, international exposure, and ongoing mentorship. If you are passionate about data quality and cost-efficient architectures, this role is for you.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

Snowflake

Data modeling

Query optimization

English proficiency

Herramientas

SQL

Descripción del empleo

BairesDev is seeking a Snowflake Data Engineer (Python) to design, build, and optimize data pipelines for enterprise-scale analytics. You will leverage Python and Snowflake to deliver scalable structures, data models, and high-performance warehousing capabilities.

Join a 100% remote, globally distributed team and enjoy flexible hours, international exposure, and ongoing mentorship. If you are passionate about data quality and cost-efficient architectures, this role is for you.