Senior Data Engineer

Zipdev

Senior Data Engineer building and optimizing Snowflake and ELT pipelines for data-driven decision-making. Collaborating with teams to ensure data quality and scalability across the organization.

Posted 5/6/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

About the role

Key responsibilities & impact

Architect and optimize the **Snowflake data platform**, including warehouse sizing, cost optimization, storage strategy, and access controls
Design and own **dbt project structure**, including models, macros, testing, documentation, and scalable data contracts
Build and maintain **ELT pipelines** using Fivetran and orchestration tools, ensuring reliable data ingestion across multiple sources
Implement and manage **data quality and observability frameworks** (tests, SLAs, lineage, monitoring, incident response)
Translate **business requirements into scalable data models and reusable datasets**
Partner with **Analytics, Product, and Marketing teams** to deliver high-quality, self-service data solutions
Establish and enforce **data modeling standards** (dimensional and ER models)
Optimize **query performance and warehouse costs** in Snowflake, providing insights to stakeholders
Define and enforce **data governance policies**, including RBAC, masking, and PII handling
Own end-to-end delivery of **complex data initiatives**, from design to production
Participate in **code reviews and technical design discussions**, raising engineering standards
Identify and reduce **technical debt** across pipelines, models, and infrastructure

Requirements

What you’ll need

5+ years of experience in **data engineering** building and operating production data pipelines
Deep expertise with **Snowflake** (architecture, cost optimization, governance, RBAC, masking)
Strong experience with **dbt** (modeling, testing, macros, project structure)
Hands-on experience with **Fivetran** or similar ELT tools
Strong knowledge of **data modeling** (dimensional and entity-relationship)
Experience designing and maintaining **scalable, production-grade data pipelines**
Ability to translate **ambiguous business needs into technical solutions**
Strong communication skills and experience working cross-functionally
Bachelor’s degree in Computer Science, Data Engineering, or equivalent experience

Benefits

Comp & perks

Work remotely Monday - Friday, 40 hours a week (no weekends)
Health Care Reimbursement
Active Lifestyle Reimbursement
Quarterly Home Office Reimbursement
Payroll Deduction Purchase Plans
Continuous Learning Bonus
Access to Training and Professional Development Platforms
Did we mention it's REMOTE?!!

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SnowflakedbtELT pipelinesdata modelingdata quality frameworksdata observability frameworksquery performance optimizationdata governancetechnical debt reductiondata architecture

Soft Skills

communication skillscross-functional collaborationproblem-solvingtechnical design discussionsstakeholder engagementproject ownershiprequirements translationincident responsecode review participationengineering standards

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data Engineering