Snowflake Data Engineer: Build Scalable Data Warehouses

Quantum Technologies LLC; Chicago (IL); On-site; USD 88,000 - 125,000; Full time

Job summary

Quantum Technologies. LLC in Chicago, IL seeks a Snowflake Data Engineer to develop and optimize data solutions across Snowflake platforms.

The role requires building data pipelines, tuning SQL, and collaborating with the engineering team to ensure robust, scalable analytics. The ideal candidate has 5+ years of Snowflake experience, strong SQL/Python skills, and familiarity with data warehousing, metadata, and orchestration tools like Airflow.

Qualifications

• 5+ years of Snowflake data engineering experience.
• Strong SQL and Python development skills.
• Experience designing data warehouses in Snowflake.
• Ability to tune SQL queries; Azure Data Factory knowledge.
• Hands-on experience with orchestration tools like Airflow, Informatica.
• Knowledge of metadata and data lineage.
• Shell scripting and Java scripting experience.
• Git, Confluence, Jira familiarity.
• Excellent problem solving and communication; team player.

Responsibilities

• Develop, oversee, organize, store, and analyze data and data systems.
• Participate in the full software development lifecycle for Snowflake solutions.
• Collaborate with engineering to identify and implement optimal solutions.
• Ensure platform performance, uptime, and scalability with high code quality.
• Troubleshoot incidents, diagnose root causes, and document fixes.
• Manage deliverables in fast-paced environments.
• Experience with Pharma domain and Omni-channel data is a plus.

Skills

Snowflake

SQL

Python

Data warehousing

Airflow

Informatica

Atomic

Metadata

Data lineage

Shell scripting

Java scripting

Git

Confluence

Jira

Tools

Azure Data Factory

Jira

Airflow

Informatica

Job description

Quantum Technologies. LLC in Chicago, IL seeks a Snowflake Data Engineer to develop and optimize data solutions across Snowflake platforms.

The role requires building data pipelines, tuning SQL, and collaborating with the engineering team to ensure robust, scalable analytics. The ideal candidate has 5+ years of Snowflake experience, strong SQL/Python skills, and familiarity with data warehousing, metadata, and orchestration tools like Airflow.