Jobgether
Brazil
Senior Data Engineer (Databricks) | Fully Remote
- AI
- Apache
- Artificial Intelligence
- AWS
AI Summary
Builds and owns a greenfield data platform, including warehousing, ETL/ELT pipelines, and product analytics foundations. Focuses on transforming fragmented data into reliable, AI-agent-accessible systems for self-service analytics and automated decision-making. Requires deep expertise in data architecture, SQL, Python, and modern data tools like Snowflake, dbt, and Airflow.
Key Responsibilities
Architect and implement data warehousing, ingestion pipelines, and ETL/ELT pipelines from scratch
Design AI-agent-accessible data foundations and self-service analytics infrastructure
Transform fragmented operational data into reliable, high-quality sources of truth
Establish product analytics infrastructure including event tracking and data models
Automate data operations using AI coding agents and intelligent automation
Lead data quality, observability, and governance standards for scalable systems
Mentor engineers and establish data engineering best practices
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Technical Skills Required
Benefits & Perks
Equity compensation
Performance-based bonuses
Up to 100% health-insurance premium reimbursement
Paid time off
401(k) plan with company match
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Nice to Have
Founding Data Engineer experience for a company’s first data platform
Experience designing data systems for AI-powered applications
Automation of data pipeline development, validation, or maintenance using AI agents
Experience with semantic layers or data discovery systems for AI accessibility
Job Description
This is a Staff-level, hands-on engineering role for someone who has built data infrastructure from zero to production and knows how to turn fragmented operational data into reliable, accessible, and actionable systems.
You'll own the architecture and implementation of our data warehouse, ingestion pipelines, transformations, and product analytics foundations. We're building an AI-native organization where both humans and autonomous agents need access to trustworthy, well-structured data. You'll design the systems that make this possible, enabling self-service analytics, automated decision-making, and increasingly intelligent workflows across the company.
What You'll Do
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