Data Engineer – Mid-level

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ImunoBR

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

💊 Pharmaceuticals

🤖 Artificial Intelligence

👥 B2C

Pharmaceuticals • Artificial Intelligence • B2C

ImunoBR is an ecosystem of healthcare companies in Brazil that provide integrated solutions for access, treatment and monitoring of patients with autoimmune and oncological conditions using immunobiological therapies. It operates specialized clinics offering assisted therapy and multidisciplinary outpatient services, home care, and clinical research, while also distributing specialty medicines through Oito Pharma and running a healthtech (Ymunity) that applies data intelligence and artificial intelligence to manage patient journeys and improve outcomes. ImunoBR focuses on operational excellence, patient-centered care, and data-driven innovation to deliver value to patients, payers and physicians.

📋 Description

• Develop and maintain robust, reliable data pipelines (Python + PostgreSQL), including ingestion, transformation, and loading processes (ETL/ELT) • Model data — design and evolve relational schemas, ensuring integrity, performance, and traceability • Implement and monitor data quality routines, identifying inconsistencies, duplicates, and integrity failures before they reach analyses • Build and evolve dashboards, reports, and analytical applications in Streamlit or similar platforms — including operational, therapeutic, clinical, and outcome analyses for clients such as healthcare payers/operators • Organize and evolve the team's data architecture, aligning pipelines, repositories, and visualizations with the product-defined structure • Document business rules, indicator methodologies, and technical decisions — ensuring knowledge is not concentrated in a single person • Work closely with the product team to translate complex clinical rules into actionable analyses, models, and visualizations • Ensure data is handled in compliance with the LGPD (Brazilian General Data Protection Law), especially regarding sensitive health data

🎯 Requirements

• Strong experience with Python for data (pandas, automation, data manipulation) • Experience with PostgreSQL — relational modeling, advanced queries, optimization • Good practices in code version control (Git) • Experience with Streamlit or similar data visualization tools • Ability to work autonomously, document your work, and communicate effectively with non-technical stakeholders • Familiarity with Azure