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Data Engineer

Analista de Engenharia de Dados II - Vaga Afirmativa para Mulheres

Serasa Experian

Sao Paulo

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Role description

Company Description
A Experian é uma empresa global de dados e tecnologia que impulsiona oportunidades para pessoas e empresas ao redor do mundo. Atuamos em diversos mercados, como serviços financeiros, saúde, automotivo, agronegócio, seguros, entre outros. A Experian investe em pessoas e em novas tecnologias avançadas para liberar o poder dos dados. Contamos com uma equipe incrível de 25.200 colaboradores em 32 países.

Nossa singularidade é valorizar a sua. A cultura da Experian, centrada nas pessoas, inclusiva e orientada por propósito, é reconhecida por diversos prêmios — incluindo World’s Best Workplaces™ 2025 (Top 25 global da Fortune) e Great Place To Work™ em 26 países, entre outros. Confira o Experian Life nas redes sociais ou explore nosso site de carreiras para entender o porquê. A Experian também se orgulha de ser uma empregadora que promove igualdade de oportunidades e ação afirmativa.

Job Description
Estamos buscando um Engenheiro de Dados para atuar com
grandes volumes de dados
em um ambiente altamente escalável, utilizando principalmente
Apache Spark/Python
em
Databricks
. Esse profissional será responsável por desenvolver, otimizar e dar manutenção em pipelines de ingestão de dados, com foco em arquiteturas modernas e eficientes.

Entre As Principais Atividades, Destacam-se

  • Construção e manutenção de pipelines de ingestão utilizando Autoloader (incremental, schema evolution, otimização de throughput).
  • Processamento de dados em larga escala usando Spark Structured Streaming e Spark SQL.
  • Implementação de boas práticas de engenharia de dados, como particionamento, otimização com Delta Lake.
  • Conhecimento de git controle de versionamento, pull requests.
  • Análise, melhoria e otimização de custos e performance em Databricks.
  • Implementar Data Quality.
  • Criar documentação clara das demandas.
  • Colaboração com times de negócio e analytics para garantir que os dados estejam estruturados e disponíveis com segurança.

Qualifications

  • Experiência com Databricks para processamento, transformação e análise de grandes volumes de dados.
  • Conhecimento sólido em processos de ETL (Extração, Transformação e Carga de Dados), garantindo a integração e qualidade das informações.
  • Experiência em Engenharia de Dados, atuando na construção, manutenção e otimização de pipelines de dados escaláveis.
  • Vivência com arquitetura de dados, modelagem de dados e integração entre diferentes fontes.
  • Capacidade de desenvolver soluções para ambientes de dados em nuvem e ecossistemas de Big Data.
  • Conhecimento em boas práticas de governança, qualidade e performance de dados.

Additional Information
A Serasa Experian é muito mais do que você imagina. Com o propósito de criar um futuro melhor, ampliando oportunidades para pessoas e empresas, no Brasil somos mais de 4 mil pessoas que atuam em diversos times e especialidades. Aqui, cada conhecimento e diversidade se complementa e você pode trabalhar no que mais ama, estamos comprometidos a construir uma cultura inclusiva e um ambiente no qual pessoas possam equilibrar a carreira com seus compromissos e interesses pessoais, prezando pelo bem-estar.

A gente se dedica muito em ser uma das melhores e mais inovadoras empresas para se trabalhar do país, possibilitando experiências e carreiras incríveis para nossas pessoas. Nossa forte abordagem de pessoas em primeiro lugar é reconhecida externamente por meio de diversas certificações de mercado: fomos premiados pelo Great Place To Work™ em 24 países e pela certificação internacional Top Employers, além de sermos reconhecidos como uma das melhores empresas para jovens profissionais e contarmos com uma avaliação de 4,6 no Glassdoor. Cada reconhecimento nos indica que estamos no caminho certo, proporcionando um ambiente de trabalho cada vez melhor para nossos talentos.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Engenheiro de Dados Pleno

Shopee

Sao Paulo

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Role description

About The Team
Sobre a Shô

Aqui na Shô, acreditamos que cada membro de nossa equipe é fundamental para o nosso sucesso, e que diversidade de perspectivas e vivências são essenciais para movimentar nosso negócio e impulsionar o nosso propósito de mudar o mundo para melhor. Fazer parte do nosso time é a oportunidade de se desenvolver dentro de uma cultura de muita agilidade. Se você ama assumir grandes responsabilidades e fazer o que nunca foi feito, a Shô é seu lugar. Aqui você terá grandes desafios, trabalhará em colaboração com um time diverso e contribuirá para o futuro do e-commerce no Brasil, criamos impacto positivo na vida de milhões de pessoas.

Job Description
Qual será a sua missão:

Responsável pelo detalhamento, desenvolvimento e evolução de soluções de engenharia de dados, utilizando tecnologias, frameworks e boas práticas voltadas à construção de pipelines, processamento e disponibilização de dados. Propor continuamente melhorias nas soluções desenvolvidas pelo time, buscando maior qualidade, eficiência, escalabilidade e confiabilidade. Prezar pela clareza, padronização e simplificação dos códigos e processos, garantindo fácil manutenção e evolução das soluções de dados. Atuar também no monitoramento dos pipelines e ambientes de dados, contribuindo para a disponibilidade, observabilidade e qualidade das informações disponibilizadas.

Como Será o Seu Dia a Dia

  • Analisar, mapear e identificar, em conjunto com os times de Produto e demais áreas envolvidas, necessidades e demandas relacionadas a dados, utilizando metodologias ágeis para apoiar a definição, priorização e planejamento das entregas.
  • Construir e participar de refinamentos técnicos, identificando alternativas de solução, dependências, riscos e possibilidades de divisão das demandas, considerando aspectos como arquitetura, integração, processamento, armazenamento, qualidade e disponibilização dos dados.
  • Buscar proativamente ferramentas, tecnologias e boas práticas que apoiem as atividades de Engenharia de Dados, contribuindo para a evolução técnica do time, automação de processos e aumento da eficiênciae confiabilidade das soluções desenvolvidas.
  • Contribuir com o desenvolvimento de soluções de Engenharia de Dados, construindo e evoluindo pipelines, integrações e processos de transformação de dados, utilizando testes e mecanismos de validação que garantam a qualidade e confiabilidade das entregas.
  • Desenvolver, monitorar e prestar suporte às soluções e pipelines de dados em ambiente produtivo, atuando na identificação e resolução de falhas e garantindo a disponibilidade e continuidade dos processos.
  • Identificar oportunidades de melhoria nos processos, arquiteturas e fluxos de dados, trabalhando na implementação de soluções que promovam maior eficiência, automação, escalabilidade e confiabilidade.
  • Participar da revisão de código e das soluções desenvolvidas por outros membros do time, contribuindo para a padronização, qualidade, manutenibilidade e adoção de boas práticas de Engenharia de Dados.

Requirements
O que você precisa para assumir o desafio:

  • Ensino superior completo na área de Tecnologia é um diferencial. Cursos relevantes voltados à área de dados.
  • Sólida experiência em SQL, PYTHON e ETL (obrigatório)
  • Desejável conhecimentos em Apache Spark/Airflow, Docker, Grafana, dentre outros
  • Inglês técnico

Benefícios
Assistência médica e odontológica, estendendo-se aos dependentes;

Parceira com Gympass e TotalPass;

Vale Refeição/Alimentação flexível;

Vale Transporte, Vale Mobilidade ou Estacionamento no local;

Benefício flexível;

Zenklub;

Bônus anual discricionário, atrelado à performance.

VEM FAZER HISTÓRIA COM A GENTE.

O QUE TE FAZ ÚNICO, NOS FAZ MELHORES! 🧡

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Software Engineer I, Atlas Build Team (Hybrid, Sao Paolo)

FactSet

Sao Paulo

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Role description

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Position Overview:

The FactSet Workstation Application is a product that helps financial professionals access high-quality data, uncover deeper research ideas, and power intelligent analytics in one seamless experience. In this Software Engineering I role, your responsibilities will center around the build and deployment systems, supporting apps, and infrastructure utilized by the developers working directly on the FactSet Workstation Application.

Some aspects of this job include building robust and secure pipelines to deliver FactSet's primary Windows Workstation application, migrating legacy software and processes to modern frameworks and libraries, and automating build and deployment infrastructure to allow developers to focus on code, not on process.

Working in a small team of 3, you will gain valuable hands-on experience with infrastructure management, debugging and troubleshooting skills, and proficiency in harnessing community engagement to facilitate efficient and painless development. If you love to problem-solve, this is the job for you!

Key Responsibilities:

  • Troubleshoot and optimize Windows-based FactSet build systems
  • Design and build self-service APIs and web portals
  • Automate, maintain, and monitor infrastructure to support critical Windows-based FactSet workflows
  • Participation in an on-call rotation for rare, critical incidents (historically occurring once every few years)
  • Engage with high-level FactSet developers in monthly round tables to collaborate on project strategy and prioritization

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience
  • Basic Windows troubleshooting
  • Ability to work in a high-level programming language (such as C#, Python, Go, C++, Java, Perl, etc.)
  • Strong verbal and written communication skills in the English language

Desired Skills:

  • Familiarity with C# and/or Perl
  • Expose to common cloud infrastructure components (AWS preferred)
  • Familiarity with Windows software development practices

Company Overview:

FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn .

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

AI Research Engineer (Pre-training - LLM & Multi-Modal) - 100% Remote Worldwide

Tether Operations Limited

Sao Paulo

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Role description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.

Responsibilities

  • Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
  • Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
  • Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
  • Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
  • Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
  • System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
  • A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
  • Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
  • Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
  • Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
  • Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

  • Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
  • Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
  • Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
  • Double-check email addresses. All communication from us will come from emails ending in **@**tether.to **or @**tether.io
  • We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Solutions Engineer

Sezzle

Sao Paulo

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Role description

Job Title: Solutions Engineer

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated Solutions Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

As a Solutions Engineer, you are the technical owner of the merchant relationship from first sales conversation through live integration and beyond. You will focus on our enterprise and strategic merchants: the national retailers and high-volume brands running custom, hand-built integrations across web, mobile app, and in-store. These are our most complex merchants and our largest revenue drivers, and they do not come with an off-the-shelf plugin.

You will partner with Sales, Product, and Engineering to scope what a merchant needs, design the integration that gets them there, and stay with them once they are live. You own the technical side of pre-sales: demos, architecture discussions, RFP responses, and solution proposals. When a merchant needs something custom, you define the requirement, shape the solution with our engineering team, and drive it to launch.

This is a customer-facing engineering role. You will spend as much time on calls with merchant developers as you will in documentation and test environments, and you need to be credible in both rooms.

This role combines technical expertise and sales acumen to support sales teams. They work closely with the sales team and clients, understanding customer needs and translating them into effective, tailored solutions. Acting as a bridge between technical and business functions, a Solutions Engineer not only helps demonstrate and implement the product's capabilities but also communicates complex technical details in a way that resonates with clients. Their role requires both the ability to engage with customers directly and the technical know-how to ensure the product meets client requirements effectively.

What You'll Do:

  • Own technical discovery for prospective merchants: understand their stack, their checkout flow, and their constraints, then map them to the right Sezzle integration path
  • Lead product demos and technical presentations for merchant engineering and business stakeholders
  • Design integration solutions across our API, SDKs, and platform plugins (Shopify, BigCommerce, Magento, WooCommerce, Wix, and custom builds)
  • Write technical proposals and complete RFP and security questionnaire responses
  • Support merchant mobile app integrations: SDK implementation, in-app checkout, and native versus webview handoff
  • Validate integrations in sandbox and in production before launch, including checkout flow, widget and messaging placement, redirect and handoff behavior, and settlement
  • Troubleshoot live integration issues alongside Support and Engineering, and own the technical narrative back to the merchant
  • Translate recurring merchant needs into product feedback, and push for the fixes that unblock revenue
  • Build and maintain integration documentation, runbooks, and internal enablement so the team scales without you in every call
  • Act as the trusted technical advisor for your merchants after launch, spotting optimization opportunities they haven't asked for yet

What We Look For:

  • 4+ years in a customer-facing technical role: solutions engineering, sales engineering, implementation, solutions architecture, or technical account management
  • Experience with mobile SDK integrations on iOS and Android, including the ability to guide merchant mobile developers through implementation and debug what breaks
  • Experience supporting enterprise merchants through complex, multi-stakeholder integrations with custom-built commerce stacks
  • Hands-on experience with REST APIs, webhooks, and reading API documentation critically
  • Working knowledge of web technologies: HTML, CSS, JavaScript
  • Familiarity with at least one major e-commerce platform (Shopify, BigCommerce, Magento, WooCommerce, Wix) and how payment methods integrate into it
  • Understanding of e-commerce workflows: cart, checkout, payment authorization and capture, refunds, shipping, and product management
  • Ability to explain technical concepts clearly to non-technical audiences, and business context clearly to engineers
  • Strong written communication. You will produce documentation and proposals that merchants and internal teams rely on
  • Comfort managing several merchant integrations at once in a fast-moving environment
  • Ability to read code in at least one language well enough to debug a merchant's implementation
  • Demonstrated ability to use AI tools effectively in day-to-day work, including research, technical documentation, problem-solving, and workflow automation.

Preferred Qualifications

  • Experience at a payments company, PSP, or BNPL provider
  • Familiarity with payment gateway architecture and how alternative payment methods are surfaced at checkout
  • Experience with in-store or omnichannel payment integrations
  • Bachelor's degree in computer science, computer engineering, or a related field, or equivalent practical experience

About You:

  • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You're not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.
  • You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
  • You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #Full-time

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Analista de Engenharia de Dados II - Vaga Afirmativa para MulheresSerasa Experian · Brazil

Apply on the employer's site