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Senior Analytics Engineer | Partners

WellhubBrazil🌍 Remote
Full-timeSenior
👁️ 5 views📝 0 applicationsPosted 7/15/2026Expires 9/13/2026
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Job Description

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription.

Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced.

Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing!

THE OPPORTUNITY As a Senior Analytics Engineer within Wellhub 's Partner Data & Insights team in Brazil , you'll sit at the intersection of data engineering, applied AI, and business analytics.

This is a highly autonomous, technically deep role focused on building and evolving the data foundations that power decision-making across our Partners business.

You'll design, build, and maintain robust data pipelines in a data mesh architecture, model our semantic/BI layer, and create AI-powered capabilities — like data/AI agents — that scale the impact of the whole team.

You'll work closely with analysts and stakeholders, translating vague, fast-moving needs into the reliable pipelines that feed our data assets, and bringing an analytical lens to the work when it helps. You'll own technical work end-to-end, from ambiguous problem to production-grade solution.

YOUR IMPACT Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.

Evolve existing data assets and processes, raising the bar on data standards, definitions, and governance within the Partners business ar

Required Skills

Data Engineering

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