Software Engineer, Data & AI Applications

Job not on LinkedIn

🕒 August 4

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fortive

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2016

🏥 Healthcare

🏭 Manufacturing

📦 Logistics

💰 Post-IPO Equity on 2020-03

Healthcare • Manufacturing • Logistics

Fortive is a global industrial technology company that specializes in delivering advanced healthcare solutions, intelligent operating solutions, and precision technologies. With a team of 18,000 employees, Fortive works on solving tough technical challenges, empowering safer, smarter, and more efficient industrial operations. The company emphasizes sustainability, integrity, and continuous improvement, striving for a future that's stronger, safer, and smarter. Fortive has been recognized as one of America's Most Responsible Companies, demonstrating its commitment to positive social and environmental impact.

📋 Description

• 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 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 • 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 • Leverage AI-assisted development tools while maintaining code quality, testing, and documentation standards

🎯 Requirements

• 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 software 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

• Flexible work arrangements designed to support work-life balance • Professional development and continuous learning opportunities • Personal development resources, coaching, and support through “Grow Without Limits” • Competitive compensation and benefits package • Collaborative team culture valuing learning, experimentation, and continuous improvement • Opportunities to expand expertise across software engineering, data platforms, and applied AI