Senior Snowflake Data Engineer for Scalable Pipelines

Quantum Technologies. LLC; Chicago (IL); On-site; USD 130,000 - 200,000; Full time

Job summary

Quantum Technologies. LLC in the United States is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines using Snowflake, with strong SQL, data modeling, and ETL/ELT.

The role collaborates with analysts and architects, focusing on data quality, governance, and performance optimization, and requires 7+ years in data engineering, cloud experience (AWS or Azure), and proficiency in Python and CI/CD practices.

Qualifications

• 7+ years of experience in Data Engineering.
• Strong hands-on experience with Snowflake.
• Strong SQL and 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.
• Strong experience in data modeling, including dimensional modeling, star and snowflake schemas.
• Develop complex SQL queries, stored procedures, and performance-optimized data transformations.
• Build and maintain ETL/ELT pipelines using Informatica, Azure Data Factory, dbt, or similar.
• Implement data integration from multiple source systems into Snowflake.
• Optimize Snowflake queries, warehouses, storage, and overall performance.
• Develop data models for analytics, reporting, and business intelligence.
• Ensure data quality, accuracy, security, and governance.
• Work with business analysts, architects, and data teams to understand requirements.
• Troubleshoot data pipeline and production issues.
• Participate in code reviews, documentation, and technical design discussions.

Skills

Snowflake

SQL

Data modeling

ETL/ELT

Cloud platforms (AWS/Azure)

Python (preferred)

Git/CI_CD/Agile

Tools

Snowflake

Informatica

Azure Data Factory

dbt

Git

Job description

Quantum Technologies. LLC in the United States is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines using Snowflake, with strong SQL, data modeling, and ETL/ELT.

The role collaborates with analysts and architects, focusing on data quality, governance, and performance optimization, and requires 7+ years in data engineering, cloud experience (AWS or Azure), and proficiency in Python and CI/CD practices.