Senior Data Engineer (Snowflake)

Oowlish Technology•St. Louis, MO

1d•Remote

About The Position

Oowlish, a rapidly expanding software development company in Latin America, is seeking experienced technology professionals to join its diverse and vibrant team. As a valued member, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Oowlish is certified as a Great Place to Work, offering opportunities for professional development, growth, and international impact. The company provides remote work options to foster work-life balance and seeks candidates passionate about technology, proficient in English, and eager for remote collaboration. This role focuses on building and optimizing modern cloud-based data solutions using Snowflake. The Senior Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines, optimize data models, and ensure the delivery of accurate, high-quality data. The position involves working with cloud-native technologies and evolving the organization's data platform towards a Snowflake and dbt architecture. The ideal candidate possesses strong experience in enterprise data pipelines, scalable data warehouse design, and transforming business requirements into reliable data solutions. This is a remote position within the United States, with a preference for the Midwest, and may require occasional travel to Chicago.

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.
Advanced SQL skills.
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 Haves

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.

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.