Snowflake Data Engineer: Cloud DW & Pipelines

Ethereum Technologies; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies in Chicago is seeking an experienced Data Engineer to design, develop, and optimize scalable Snowflake data warehouse solutions for enterprise data. You will build complex SQL queries, ETL/ELT pipelines, and data integrations across multiple source systems.

The role requires 5–8 years in data engineering with Snowflake expertise, strong data modeling skills, and familiarity with cloud platforms (AWS, Azure, GCP).

Qualifications

• Bachelor's degree required in a quantitative field.
• 5–8 years in data engineering or data warehouse development.
• Strong Snowflake and SQL skills with data modeling experience.
• Experience building enterprise-scale ETL/ELT pipelines.

Responsibilities

• Design, develop, and maintain scalable Snowflake data warehouse solutions.
• Build and optimize complex SQL queries, views, and procedures.
• Develop ETL/ELT pipelines to integrate data from multiple sources.
• Configure Snowflake Streams and Tasks for automated processing.
• Monitor warehouse performance and optimize queries.
• Implement data validation and governance processes.
• Collaborate with data engineers, architects, and analytics teams.

Skills

Snowflake

SQL

ETL/ELT

Data modeling

Python

Cloud platforms

Education

Bachelor's degree in Data Engineering, CS, IS, or Applied Mathematics

Tools

Informatica

Matillion

dbt

Fivetran

Job description

Ethereum Technologies in Chicago is seeking an experienced Data Engineer to design, develop, and optimize scalable Snowflake data warehouse solutions for enterprise data. You will build complex SQL queries, ETL/ELT pipelines, and data integrations across multiple source systems.

The role requires 5–8 years in data engineering with Snowflake expertise, strong data modeling skills, and familiarity with cloud platforms (AWS, Azure, GCP).