Data Engineer

Job not on LinkedIn

🕒 May 12

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 42%

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

• Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed—reducing time to insight • Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences • Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations • Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs) • Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively • Partner with business teams to support operational improvements and growth initiatives, defining measurable outcomes • Prepare both executive-level summaries and detailed analytical reports, including clear written insights and visual storytelling • Present findings and recommendations to senior leadership, including options and trade-offs • Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles • Contribute to additional analytics initiatives as business needs evolve

🎯 Requirements

• Candidates must be currently based in Brazil • Documentation to verify location and work eligibility will be requested during the hiring process • 4–5 years of experience using SQL for data extraction and transformation, and Python for advanced analytics, automation, or modeling • Hands-on experience with forecasting and predictive modeling to support strategic decision-making • Experience working with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery • Strong understanding of data modeling concepts, including star and snowflake schemas, and normalized vs. denormalized designs • Advanced proficiency with BI and visualization tools such as Power BI or Tableau, including best practices for data storytelling • Proven ability to lead analytics projects end-to-end—from business requirements through analysis, insights, and executive recommendations • Experience delivering measurable business impact through analytics, reporting, revenue operations, or related roles • Excellent communication skills, with the ability to translate complex analyses into clear, actionable insights for senior stakeholders • Experience working with CRM platforms such as Salesforce • Familiarity with automated data pipelines or reporting automation • Experience supporting executive or board-level reporting

🏖️ Benefits

• The opportunity to work closely with senior leadership and influence strategic decisions • Exposure to high-impact, cross-functional analytics initiatives • A collaborative, fast-paced environment that values curiosity, ownership, and continuous learning • Opportunities to grow your technical, business, and leadership skills • Competitive compensation and benefits package (details shared during the interview process) • Flexibility to support work-life balance, in line with company policy