Senior Data Engineer (Snowflake)

We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help build and optimize modern cloud-based data solutions that support critical business operations.

In this role, you'll design, develop, and maintain scalable ETL/ELT pipelines, optimize data models, and ensure the delivery of accurate, high-quality data to downstream business systems. You'll work with modern cloud-native technologies while helping evolve the organization's data platform toward a Snowflake and dbt architecture.

The ideal candidate has strong experience building enterprise data pipelines, designing scalable data warehouses, and transforming complex business requirements into reliable data solutions.

Remote – United States (Midwest Preferred)

Occasional travel to Chicago may be required.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
• Build and optimize data models in Snowflake for analytics and operational reporting.
• Develop data transformation processes supporting business intelligence and downstream applications.
• Design and maintain enterprise data pipelines integrating CRM, ERP, billing, and other business systems.
• Ensure data quality, integrity, consistency, and reliability across all data workflows.
• Build and maintain outbound integrations with enterprise applications and reporting platforms.
• Monitor, troubleshoot, and optimize pipeline execution and query performance.
• Collaborate with business stakeholders to translate requirements into scalable data solutions.
• Support the evolution of modern cloud-native data architecture using Snowflake and dbt.
• Participate in code reviews and continuously improve engineering best practices.

Requirements:

• 5+ years of professional Data Engineering experience.
• 4+ years of hands-on Snowflake experience.
• Strong SQL and data warehousing experience.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience working with enterprise business data.
• Experience integrating multiple enterprise applications.
• Strong analytical and problem-solving skills.
• Experience working in Agile environments.
• Strong written and verbal English communication skills.
• Must be based in the United States.

Must Have:

• 5+ years of Data Engineering experience.
• 4+ years of hands-on Snowflake experience.
• Advanced SQL skills.
• Experience building and maintaining ETL/ELT pipelines.
• Experience with Matillion or similar ETL/ELT platforms.
• Strong data modeling experience.
• Experience designing enterprise data warehouses.
• Experience optimizing Snowflake performance.
• Experience integrating CRM, ERP, billing, and other enterprise systems.
• Experience building scalable data pipelines.
• Strong understanding of data quality, governance, and integrity.
• Experience translating business requirements into scalable data solutions.

Nice to Have

Experience with dbt (Data Build Tool).
Experience migrating ETL workloads to Snowflake-native architectures.
Experience with SAP Callidus.
Experience with Xactly.
Experience with CaptivateIQ.
Experience working with Sales Compensation or Incentive Compensation Management (ICM) platforms.
Experience supporting Revenue Operations or Sales Operations teams.
Experience with Snowflake Cortex.
Experience implementing AI-driven data workflows.
Experience working with Finance or Commission-related datasets.