Senior Data Engineer (Snowflake)

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role:

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.

Come join us in breaking the mold and revolutionizing the tech landscape!

You can also apply here:

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Originally posted on Himalayas