Intermediate/Senior Data Engineer (Snowflake)

TL;DR

Intermediate/Senior Data Engineer (Snowflake/dbt/AWS): Design and maintain data transformation pipelines, manage databases and cloud infrastructure with an accent on performance, scalability, and security. Focus on building scalable ELT pipelines, optimizing Snowflake data models, and orchestrating automated workflows with Airflow/Dagster.

Remote worldwide (Brazil mentioned in conditions)

Company

Global tech company delivering digital merchandising solutions across 50+ markets.

What you will do

• Build and maintain scalable ELT pipelines for reliable data ingestion, transformation, and delivery
• Design, optimize, and manage data models in Snowflake for performance, scalability, and clarity
• Create and maintain DAGs to define pipeline tasks, dependencies, and schedules for automated workflows
• Collaborate with DevOps to configure and manage AWS infrastructure supporting data storage, pipelines, and transformations
• Monitor pipelines to resolve failures and improve stability and data quality
• Document pipelines, DAGs, and models to support onboarding and knowledge sharing

Requirements

• Upper-Intermediate+ English level
• 3-5+ years of experience in a Data Engineer role
• Expertise in Snowflake architecture, performance tuning, and data modeling
• Proficiency in dbt for modular data modeling, transformations, testing, and documentation
• Experience building scalable ELT pipelines in AWS
• Strong knowledge of data orchestration tools (Airflow, Dagster, Prefect, or similar)
• Strong SQL skills for data transformation and analysis

Nice to have

• Bachelor’s degree in Computer Science or equivalent certifications
• Full-stack development experience (TypeScript, React.js, JavaScript, Node.js, Express.js)
• Experience with CMS development or digital signage solutions
• Advanced knowledge of cloud security best practices
• Experience in cross-functional teams with developers and QA

Culture & Benefits

• 99.9% remote — work from anywhere in the world
• 30 paid days off per year, 5 paid sick days, up to 60 days medical leave, 6 paid days for family events
• Partially covered health insurance after probation, wellness bonus for gym/sports after 6 months
• Payment in U.S. dollars, overtime covered
• English lessons, hirify.global University programs, online activities, team-building events

Hiring process

• Submit CV in English
• Intro call with Recruiter
• Internal interview
• Client interview
• Offer