20 melhores vagas de stack developer para guarulhos, sp (Contratando agora!)

Data Engineer - QuantumBlack Studio
McKinsey & Company —São Paulo, SP
- Ciência da Computação
- Azure
- Ciência da Computação
3 h
Service Desk Team Leader
Lenovo —São Paulo, SP
- Tempo integral
- Experiência como Motorista
- TI
- Inteligência artificial
Há 5 dias
Senior Front-End Engineer (VueJS)
Curotec —São Paulo, SP
- Tempo integral
- Home Office
- DevOps
- Graduação
- JavaScript
Candidatura rápida
Principal Software Engineer
Sportingtech —São Paulo, SP
- Java
- JavaScript
- Desenvolvimento de Software
Senior Data Engineer
Tractian Technologies —São Paulo, SP
- Home Office
- Gestão
- Ciência da Computação
- Inglês
Senior Front-End Engineer (ReactJS)
Curotec —São Paulo, SP
- Tempo integral
- Home Office
- DevOps
- Graduação
- JavaScript
Candidatura rápida
Staff Software Engineer - Credit Platform
Blip Global —São Paulo, SP
- Home Office
- Azure
- Design de Sistema
- Inglês
- Vale-transporte
- Assistência médica
Candidatura rápida
Middle Software Engineer (Clojure)
Exadel Inc (Website) —São Paulo, SP
- DevOps
- Inglês
- Banco de Dados
Publisher Monetization & Programmatic Media Specialist
Lenovo —São Paulo, SP
- Tempo integral
- Gestão
- Inglês
- Graduação
Senior Software Engineer I
Checkout.com —São Paulo, SP
- Tempo integral
- Ciência da Computação
- Ciência da Computação
- Java
Candidatura rápida
Senior Full-Stack Engineer (Laravel/VueJS)
Curotec —São Paulo, SP
- Tempo integral
- Home Office
- Inglês
- Graduação
- JavaScript
Candidatura rápida
[job-29923] Developer AI Engineer (São Paulo), Brasil.
CI&T —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Java
- Construção Civil
- Inteligência artificial
- Participação nos lucros
- Assistência médica
Candidatura rápida
21 h
Senior Software Engineer (.NET, Angular & Agentic AI)
Oowlish —São Paulo, SP
- Home Office
- Azure
- Inglês
- Mentoria
- Trabalho remoto
Há 14 dias
Pre-Sales AI Solutions and Services Architect
Lenovo —São Paulo, SP
- Tempo integral
- Mestrado
- Inteligência artificial
- Liderança
Tech Lead, Software Engineering (For Women in Tech Candidates)
Google —São Paulo, SP
- Ciência da Computação
- Inglês
- Graduação
Desenvolvedor Sênior - Dynamics
Porto —São Paulo, SP
- Espanhol
- Azure
- DevOps
- Participação nos lucros
- Vale-transporte
Senior Visual Designer
Lenovo —São Paulo, SP
- Tempo integral
- Inglês
- Graduação
- Inteligência artificial
Há 14 dias
Gerente de engenharia de dados
Edenred —São Paulo, SP
- Tempo integral
- Gestão
- Inglês
- Liderança
5 h
Senior Data Management Professional - Data Engineering - Data BNEF
Bloomberg —São Paulo, SP
- Gestão
- Ciência da Computação
- PMP
Lead DevOps Engineer
Playtech —São Paulo, SP
- Tempo integral
- Modelo Híbrido
- Ciência da Computação
- Gestão
- Ciência da Computação
Candidatura rápida

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Data Engineer - QuantumBlack Studio

McKinsey & Company -
São Paulo, SP

Candidate-se Agora

Detalhes da vaga

Há 3 horas

Qualificações

Ciência da Computação
Azure
Business intelligence
Ciência da Computação
DevOps
Certificação AWS
Git
Inglês
SQL
Pandas
Desenvolvimento de Software
Agile
Inteligência artificial
Python

Descrição completa da vaga

Job ID: 104049

Sao Paulo

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.

You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You’ll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.

In this role, you will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you’ll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack Studio and QuantumBlack Labs teams, you’ll help develop innovative AI capabilities and scalable enterprise solutions. You’ll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm’s ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.

You’ll be based in São Paulo as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients from data owners to C-level executives you’ll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.

You will have a unique opportunity to grow at the forefront of AI, data engineering, and emerging agentic technologies. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you’ll gain a holistic understanding of how data engineering enables advanced AI while collaborating with some leading AI and data experts in the industry.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Degree in Computer Science/Engineering, or equivalent experience

2+ years’ experience in a data-focused role (internships, academic projects)

Ability to write clean, well-documented code in a modern programming language, with a strong preference for Python and SQL

Interest in or exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods (streaming vs batch)

Familiarity with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.), cloud platforms (AWS, Azure, GCP) and engineering tools (Pandas, Spark, dbt, LangChain, etc.)

Exposure to modern software development practices, including version control (Git) and foundational concepts in DevOps and MLOps/LLMOps and CI/CD principles

Exceptional time management in a complex and largely autonomous work environment

Willingness to learn quickly and adapt to different project situations and tech stacks

Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus

Strong communication skills, both verbal and written, in English and Portuguese

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Candidate-se Agora

Refine sua pesquisa

stack developer vagas para: guarulhos, sp

Data Engineer - QuantumBlack Studio

Service Desk Team Leader

Senior Front-End Engineer (VueJS)

Principal Software Engineer

Senior Data Engineer

Senior Front-End Engineer (ReactJS)

Staff Software Engineer - Credit Platform

Middle Software Engineer (Clojure)

Publisher Monetization & Programmatic Media Specialist

Senior Software Engineer I

Senior Full-Stack Engineer (Laravel/VueJS)

[job-29923] Developer AI Engineer (São Paulo), Brasil.

Senior Software Engineer (.NET, Angular & Agentic AI)

Pre-Sales AI Solutions and Services Architect

Tech Lead, Software Engineering (For Women in Tech Candidates)

Desenvolvedor Sênior - Dynamics

Senior Visual Designer

Gerente de engenharia de dados

Senior Data Management Professional - Data Engineering - Data BNEF

Lead DevOps Engineer

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