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KnowBe4

Senior Data Engineer, Brazil

KnowBe4

. Build and maintain high-scale, near real-time data pipelines for global product and service teams .

Posted 9/24/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining high-scale data pipelines, with strong proficiency in Python, SQL, and PySpark. Capable of collaborating effectively across international teams while ensuring data quality and compliance.

Highest-signal resume keywords
Data Engineering ExperiencePython ProficiencyAWS Cloud ServicesEvent-Based Data StreamingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data Pipeline DevelopmentData ModelingOrchestration LogicReal-Time ProcessingPySparkSQLPython
Soft Skills
Clear CommunicationCollaboration
Tools & Technologies
AWSLakehouseData LakeAgentic AI Tooling
Industry Keywords
Data QualityPipeline ComplianceOperational Support

Tech Stack

Tools & technologies
AWSCloudPySparkPythonSQL

About the role

Key responsibilities & impact
  • Build and maintain high-scale, near real-time data pipelines for global product and service teams
  • Design, build, and maintain production-grade event-based data pipelines processing thousands of events per second
  • Implement scalable data modeling and orchestration logic to transform raw event streams into optimized downstream data models
  • Extend core data platform toolsets and manage production pipeline release, monitoring, and maintenance
  • Partner with product teams, downstream consumers, SRE/Infrastructure, and InfoSec to ensure data quality, security, and pipeline compliance
  • Use agentic AI tooling to accelerate development, improve context management, and write maintainable code
  • Provide operational support across US time zones while working from Brazil

Requirements

What you’ll need
  • ~3–5+ years of hands-on data engineering experience building production data platforms; formal degree not strictly required
  • Strong proficiency with Python, SQL, and PySpark
  • Solid practical experience with AWS cloud services and Lakehouse/Data Lake fundamentals
  • Familiarity with high-throughput event-based data streaming and real-time processing patterns
  • Clear verbal and written English communication skills to collaborate effectively across international teams
  • Applicant assessment and background check may be part of the hiring procedure

Benefits

Comp & perks
  • Company-wide bonuses based on monthly sales targets
  • Employee referral bonuses
  • Adoption assistance
  • Tuition reimbursement
  • Certification reimbursement
  • Certification completion bonuses
  • Modern, high-tech, and fun work environment