Snowflake Data Engineer | ELT, Airflow & Remote

BairesDev; Distrito Capital; Remote; VES 77,187,000 - 111,492,000; Full time

Benefits offered by this job

Remote work (100% from anywhere)

Competitive USD salary

Home office hardware provided

Flexible hours

Parental leave

Vacation & national holidays

Global Top 1% talent

Job summary

BairesDev is seeking a Data Engineer to design and build scalable ELT pipelines and data models within the Snowflake Data Cloud. You will bridge raw data sources and analytics, delivering performant data for business insights in a 100% remote role.

Collaborate with stakeholders to define data requirements, schemas, and quality standards for the modern data stack; optimize SQL, ensure data freshness, and participate in tests, version control, and best practices.

Qualifications

• 4+ years of experience in Data Engineering focusing on the modern data stack.
• Proven expertise in building and optimizing ELT pipelines and data models using Snowflake.
• Proficiency with dbt for data transformation and managing complex models.
• Hands‑on experience with Apache Airflow for orchestration and pipeline management.
• Advanced SQL skills for data extraction and transformation.
• Advanced English proficiency.

Responsibilities

• Design, implement, and optimize robust ELT workflows using Snowflake and dbt.
• Develop and maintain modular data models with version control and tests.
• Orchestrate dependencies and schedules with Airflow to ensure data freshness.
• Write and tune high-performance SQL queries for the Snowflake data cloud.
• Collaborate with stakeholders to define data requirements, schemas, and quality standards.
• Monitor pipeline health and resolve bottlenecks for reliable data delivery.

Skills

Data Engineering

ELT pipelines

Snowflake

dbt

Apache Airflow

SQL

English

Tools

Snowflake

dbt

Apache Airflow

SQL

Job description

BairesDev is seeking a Data Engineer to design and build scalable ELT pipelines and data models within the Snowflake Data Cloud. You will bridge raw data sources and analytics, delivering performant data for business insights in a 100% remote role.

Collaborate with stakeholders to define data requirements, schemas, and quality standards for the modern data stack; optimize SQL, ensure data freshness, and participate in tests, version control, and best practices.