16 melhores vagas de full stack developer (python) (Contratando agora!)

Staff Software Engineer — Machine Learning, ETL & Data
IQVIA —São Paulo, SP
- Tempo integral
- Azure
- Ciência da Computação
- Banco de Dados
Middle Manual QA
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- Home Office
- Inglês
- APIs
- Inteligência artificial
Candidatura rápida
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McKinsey & Company —São Paulo, SP
- Bar
- Azure
- Ciência da Computação
Security Engineering Manager (Cloud Security)
Nubank —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Bar
- Inglês
- Inteligência artificial
- Vale-transporte
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Há 9 dias
Sr Platform Security Engineer (Zero Trust and Platform Security)
SUBMER —Rondônia
- Tempo integral
- Home Office
- Gestão
- Machine Learning
- Inteligência artificial
Candidatura rápida
Senior Forward Deployed Engineer - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
- Azure
- Gestão
- Ciência da Computação
Sr Principal Software Engineer: AI Systems
Cadence Design Systems —Belo Horizonte, MG
- Tempo integral
- Azure
- Ciência da Computação
- Inglês
Head of Quant
NEXT Ventures —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Banco de Dados
- C++
- Graduação
Candidatura rápida
Senior Observability & Telemetry Engineer - Radian Arc
SUBMER —Rondônia
- Tempo integral
- Home Office
- Banco de Dados
- Machine Learning
- Inteligência artificial
Candidatura rápida
SRE Team lead
Kommo —Remoto
- Tempo integral
- Home Office
- CRM software
- DevOps
- Agile
Candidatura rápida
System Administrator
Alchemy Cloud —Belo Horizonte, MG
- Inglês
- Scripting
- Python
Remote - Middle to Senior Python Developer - (Sports Team)
Torrero —Rio Grande do Sul
- Tempo integral
- Home Office
- Inglês
- SQL
- Inteligência artificial
Candidatura rápida
Remote - Middle to Senior Python Developer - (Core Team)
Torrero —Rio Grande do Sul
- Tempo integral
- Home Office
- Inglês
- SQL
- Inteligência artificial
Candidatura rápida
Data Engineer
Particle41 —Remoto
- Home Office
- Azure
- Ciência da Computação
- Banco de Dados
Candidatura rápida
Senior Platform Engineer
RecargaPay —Brasil
- Tempo integral
- Home Office
- Ciência da Computação
- Java
- Graduação
- Trabalho remoto
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Lead Full Stack Engineer (Python)
Onebridge —Remoto
- Tempo integral
- Home Office
- Azure
- DevOps
- Banco de Dados
Candidatura rápida
2 h

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Staff Software Engineer — Machine Learning, ETL & Data

IQVIA -
São Paulo, SP

Candidate-se Agora

Detalhes da vaga

Tempo integral

Qualificações

Elasticsearch
Modelagem de Dados
Azure
Node.js
Ciência da Computação
React
Desenvolvimento Full Stack
Banco de Dados
Microservices
Docker
Graduação
Machine Learning
Terraform
Desenvolvimento de Software
APIs
ETL
Apache
Inteligência artificial
Liderança
Banco de Dados Gráfico
Python

Descrição completa da vaga

Sao Paulo, Brazil | Full time | Hybrid | R1554308

About the Role

IQVIA is seeking an exceptional Staff Software Engineer / Technical Lead to join the strategic Customer360 (C360) program, a high-visibility initiative designed to consolidate healthcare professional (HCP) data across clinical, scientific, and digital domains into a unified AI-ready platform. The platform powers intelligent data products, semantic search experiences, APIs, agentic AI solutions, and advanced customer insights across IQVIA.

As the senior technical leader for the Brazil engineering hub, you will help define the technical direction of the platform while remaining deeply hands-on in software development, data engineering, and machine learning solutions. You will play a critical role in designing and building the profile-matching and enrichment capabilities at the core of C360, helping unify complex datasets through machine learning, graph-based techniques, and modern data engineering practices.

This is a leadership role where technical excellence, architectural vision, and hands-on contribution are valued more highly than people management responsibilities. The ideal candidate is an engineer who can lead by example, mentor others, and actively contribute to the platform every day.

Key Responsibilities

Lead the technical direction and architectural evolution of the C360 platform.
Design and implement large-scale profile matching and entity resolution solutions.
Build and optimize machine learning and graph-based matching algorithms.
Develop and maintain large-scale ETL and data processing pipelines.
Design scalable data services and microservices supporting core platform capabilities.
Architect and implement data models supporting profile enrichment and intelligent search experiences.
Build AI-ready services exposing data through APIs, MCP-based integrations, and agentic AI workflows.
Collaborate with engineering leadership on platform strategy, scalability, and technical roadmaps.
Mentor engineers across multiple experience levels and promote engineering best practices.
Participate in code reviews, architecture reviews, and technical design discussions.
Support the development of a self-sufficient engineering organization in Brazil.
Contribute hands-on to software delivery, technical problem-solving, and critical platform initiatives.

Leadership Expectations

We are looking for a technical leader who:

Is first and foremost a hands-on engineer.
Leads through technical expertise and execution.
Can mentor and guide engineers while remaining actively involved in development work.
Understands both strategic architecture and day-to-day implementation details.
Can influence technical decisions across the entire platform ecosystem.
Is comfortable owning complex technical challenges from design through production delivery.

While leadership experience is valuable, this role prioritizes technical depth over traditional people management responsibilities.

Required Qualifications

Education

Bachelor's degree or higher in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related discipline.

Experience

7+ years of software engineering, data engineering, or machine learning experience.
Demonstrated success designing and building complex data-intensive platforms.
Experience operating at a Staff Engineer, Principal Engineer, or Technical Lead level.
Experience leading technical initiatives across multiple engineering disciplines.

Required Technical Skills

Software Engineering & Architecture

Expert-level Python development.
Advanced knowledge of Microservices and Distributed Systems Architecture.
RESTful API design and development.
Platform architecture and systems design expertise.
Experience building highly scalable software systems.
Strong software engineering fundamentals and design patterns.

Data Engineering

Apache Spark.
ETL and Data Pipeline Design.
Snowflake and/or Databricks.
Large-scale data processing and transformation.
Data modeling and data platform architecture.
Experience designing federated data models and integration architectures.

Machine Learning & Graph Technologies

Practical Machine Learning experience.
Strong understanding of Machine Learning algorithms.
Graph algorithms and graph-based problem solving.
Entity Resolution and Profile Matching techniques.
Data matching, enrichment, and identity resolution concepts.
Experience applying ML techniques to real-world business challenges.

Cloud & Platform Technologies

Azure or similar cloud platforms.
Docker and Kubernetes.
CI/CD practices and modern software delivery pipelines.
Data platform design and cloud-native architecture concepts.
Infrastructure fundamentals supporting large-scale applications.

Highly Desired Qualifications

Experience with any of the following is considered a significant advantage:

Model Context Protocol (MCP)
Agentic AI architectures
Vector Databases
Semantic Search and Semantic Layers
Generative AI and LLM-based solutions
Applied AI product development
Graph Databases
MLOps practices
Pipeline orchestration technologies (Airflow or similar)
Elasticsearch
Infrastructure-as-Code (Terraform)
Advanced Azure platform services
React and Node.js full-stack development experience

Key skills

Successful candidates will be able to:

Define and guide the technical vision of the Brazil engineering organization.
Understand and influence the entire C360 ecosystem.
Architect sophisticated profile matching and enrichment solutions.
Drive engineering excellence while remaining hands-on.
Mentor engineers and elevate team capabilities.
Transition seamlessly between architecture, data engineering, machine learning, and software engineering tasks.
Balance strategic thinking with practical execution.
Leverage AI-assisted development tools while maintaining high engineering standards.

Why Join IQVIA?

Lead the technical evolution of a strategic platform with executive visibility.
Shape the future of AI-ready healthcare data solutions.
Build next-generation machine learning, graph-based matching, and intelligent data products.
Influence platform architecture across a global organization.
Work with cutting-edge technologies including AI, ML, cloud-native architectures, and modern data platforms.
Help establish and grow a new engineering hub in Brazil while maintaining hands-on impact at scale.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Where you'll work

Hybrid

You’ll split your time between home and the office, giving you the flexibility to focus where you work best while still building strong in-person connections with your team. This model combines the autonomy of remote work with the collaboration, energy and resources of an office environment.

Culture

Culture at IQVIA is built on a shared belief: that when people are empowered with better data, smarter technology and deeper expertise, they can change what’s possible for patients. Across every team and every corner of the globe, you’ll find colleagues who genuinely care — about the mission and about each other. That’s what makes this a place where people tend to stay, grow and do the best work of their careers.

Candidate-se Agora

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