Data Engineer

Fortive

. Build and maintain reliable data pipelines using Airbyte, Snowflake, and dbt .

Posted 9/25/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, optimizing data models, and developing AI-powered applications. Proficient in SQL, Python, and tools like Snowflake and dbt, with a strong focus on data quality, governance, and collaboration with stakeholders.

Highest-signal resume keywords

SQLPython ProgrammingSnowflakeDbtAirbyte

ATS Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingAI Application DevelopmentAPI CreationData IntegrationCloud-Based Data WarehousingAutomated TestingCI/CDTroubleshootingData Governance

Soft Skills

Problem-SolvingEffective CommunicationCollaboration

Tools & Technologies

AirbyteSnowflakeDbtClaude CodeGitHub CopilotCursorCodex

Industry Keywords

Data EngineeringAnalytics EngineeringAI-Powered ApplicationsData QualityOperational Excellence

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Build and maintain reliable data pipelines using Airbyte, Snowflake, and dbt
Design and optimize scalable data models for analytics, reporting, search, and AI-powered applications
Develop and maintain dbt models, testing frameworks, documentation, and deployment processes
Ensure data quality, reliability, governance, and operational excellence across the data platform
Build and enhance AI-powered applications that securely retrieve, interpret, and summarize business information
Design retrieval, context-management, prompt-engineering, and tool-calling approaches
Develop agent-based workflows for multi-step business processes
Create APIs, services, and integrations connecting AI applications with internal platforms and business systems
Understand business use of AI agents and provide feedback to improve user value
Monitor system health, application performance, data quality, AI usage, and operational costs
Troubleshoot data pipelines, warehouse transformations, software services, and AI workflows
Apply security, access control, testing, logging, and governance best practices
Partner with business stakeholders to translate requirements into scalable, maintainable solutions
Use AI-assisted development tools while maintaining code quality, testing, and documentation standards
Take direction from senior staff to learn and support standard work and best practices

Requirements

What you’ll need

Experience in software engineering, data engineering, analytics engineering, or a related technical discipline
Strong SQL skills
Proficiency in at least one programming language, preferably Python
Experience building and supporting cloud-based data warehouses and production data pipelines
Hands-on experience with Snowflake and dbt
Experience with data integration or ingestion tools such as Airbyte
Experience developing applications using LLMs, RAG, tool calling, or agent-based workflows
Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, Codex, or similar platforms
Understanding of APIs, source control, automated testing, CI/CD, and modern software engineering practices
Strong problem-solving skills for troubleshooting interconnected systems
Effective communication and collaboration with technical and business stakeholders
Preferred: Experience with Snowflake Cortex or other enterprise AI/LLM platforms
Preferred: Experience designing semantic layers, metadata systems, or governed retrieval architectures
Preferred: Familiarity with LLM evaluation frameworks, observability tools, token-cost optimization, and response quality monitoring
Preferred: Experience implementing role-based access controls, data governance standards, and data privacy protections
Preferred: Experience supporting internal applications from prototypes through enterprise-scale production adoption

Benefits

Comp & perks

Personal development resources, coaching, and support through Accruent’s “Grow Without Limits” program
Opportunities to explore new skills and professional growth
Remote work arrangement
Equal opportunity employer
Reasonable accommodations for applicants with disabilities