We’re building a platform that makes it possible to create, test, and monitor AI agents without friction. From disruptive startups to market-leading enterprises, we help organizations automate complex workflows and operational tasks — cutting hours of work into minutes, while raising quality.

Industry leaders like B3, Jusbrasil, Loft, Machado Meyer, Vórtx, Grupo Ultra and many others already use Tela to power automation and AI agents that form the backbone of their products and services.

We’re now looking for a hands-on Data Engineer who thrives on building scalable, reliable, and well-structured data systems from the ground up.

What You’ll Get

• Percentile 95 salary
• Equity upside – Grow with the company you help build
• Global product exposure – Your work will impact clients worldwide
• Latest gear – MacBook Pro M4
• PTO – Recharge when you need it
• Direct access to founders – Real influence over our roadmap
• The chance to define how data is modeled, governed, and scaled for real-world AI automation

What We’re Looking For

• At least 4 years of industry experience working as a Data Engineer or in related data infrastructure roles
• Strong skills in building and scaling data pipelines — from ingestion to transformation to serving
• Comfort with modern data lake/lakehouse architectures and streaming/batch processing
• Critical thinking – Ability to evaluate trade-offs and design systems that balance speed, cost, and reliability
• Collaboration – You work well with engineers, product, and business stakeholders to ensure data drives impact
• A builder mindset – you enjoy creating foundations, abstractions, and tools that enable others

You’ll Excel Here If You…

• Love turning messy, real-world data into clean, trusted datasets
• Can quickly design the simplest pipeline that works — and know how to scale it when demand grows
• See data as a product — not just a backend system, but a layer with contracts, ownership, and users
• Get excited about enabling analytics, billing, and AI workloads to run on reliable data foundations

Your Day-to-Day

• Build and operate data pipelines that power core product features and customer reporting
• Collaborate with product and engineering teams to ensure data models match real business needs
• Continuously improve data quality, reliability, and scalability of our infrastructure
• Establish best practices around data governance, monitoring, and documentation
• Share insights and improvements that shape how our platform evolves

Bonus Points For

• Experience with enterprise clients or large-scale data environments
• Familiarity with AI/ML data pipelines, workflow automation, or usage metering
• Knowledge of compliance frameworks (e.g., LGPD, GDPR) and how they affect data engineering

If you get excited about building the data backbone for AI automation — and want to help some of LatAm’s most innovative companies scale with trustworthy, high-quality data — we’d love to hear from you.