Senior Snowflake Data Engineer - ETL, Modeling & Analytics

Ethereum Technologies LLC; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Ethereum Technologies is seeking a Data Engineer to design, develop, and maintain scalable data pipelines with Snowflake. You will craft complex SQL and data models, build ETL/ELT processes, and integrate data from diverse sources to support analytics and BI.

The role requires strong Snowflake expertise, SQL and data modeling skills, and experience with cloud platforms (AWS/Azure). Collaboration with analysts and architects is essential, along with keeping data quality, security, and governance

Qualifications

• 7+ years of experience in Data Engineering.
• Proficient with Snowflake and strong SQL/data modeling skills.
• Experience with ETL/ELT and data warehousing concepts.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of Python is preferred.
• Experience with Git, CI/CD, and Agile methodologies.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Develop complex SQL queries, stored procedures, and performance-optimized transformations.
• Build and maintain ETL/ELT pipelines with Informatica, Azure Data Factory, dbt, or similar.
• Integrate data from multiple sources into Snowflake and optimize queries and storage.
• Collaborate with business analysts, architects, and data teams to understand requirements.
• Troubleshoot data pipelines and participate in code reviews and technical design discussions.

Skills

Snowflake

SQL

Data modeling

ETL/ELT

Cloud (AWS/Azure)

Python

Git/CI-CD/Agile

Tools

Informatica

Azure Data Factory

dbt

Job description

Ethereum Technologies is seeking a Data Engineer to design, develop, and maintain scalable data pipelines with Snowflake. You will craft complex SQL and data models, build ETL/ELT processes, and integrate data from diverse sources to support analytics and BI.

The role requires strong Snowflake expertise, SQL and data modeling skills, and experience with cloud platforms (AWS/Azure). Collaboration with analysts and architects is essential, along with keeping data quality, security, and governance