Senior Data Engineer — Snowflake & Python Mastery

Ethereum Technologies; Dallas (TX); Presencial; USD 76.000 - 108.000; Jornada completa

Descripción de la vacante

Ethereum Technologies is seeking an experienced Senior Data Engineer in the United States to design, build, and maintain scalable data pipelines and cloud-based data warehouse solutions.

The role requires hands-on Snowflake, SQL, and Python expertise, along with ETL/ELT development, data modeling, and performance optimization. You will work with data architects, analysts, and business teams to ensure data quality, security, and governance.

Formación

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake.
• Advanced SQL and query optimization skills.
• Proficiency in Python for data engineering and automation.
• Experience with ETL/ELT pipeline development.

Responsabilidades

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Build and optimize ETL/ELT workflows for structured and semi-structured data.
• Develop complex SQL queries, stored procedures, and data transformations.
• Implement data integration solutions using Snowflake and cloud platforms.
• Develop and maintain data workflows using Python and orchestration tools.
• Design data models, schemas, and data warehouse architectures.
• Optimize Snowflake query performance, warehouse usage, and cost.
• Implement data quality checks, validation, and monitoring.
• Collaborate with data architects, analysts, and business teams.
• Ensure data security, governance, and access controls.

Conocimientos

Snowflake

SQL

Python

ETL/ELT pipelines

Data modeling

Herramientas

Airflow

Descripción del empleo

Ethereum Technologies is seeking an experienced Senior Data Engineer in the United States to design, build, and maintain scalable data pipelines and cloud-based data warehouse solutions.

The role requires hands-on Snowflake, SQL, and Python expertise, along with ETL/ELT development, data modeling, and performance optimization. You will work with data architects, analysts, and business teams to ensure data quality, security, and governance.