DATA ENGINEER-Brazil | Quartile
Posted on: December 02, 2025 | #LI-Remote #LI-NA1
Company Name: Quartile.com
Division: Information Technology (IT)
Location: Brazil | Employment Type: Full-Time
Schedule: Remote | Experience Level: 05+ Years
About Quartile
Quartile proudly holds the distinction of being the world's largest retail media optimization platform, serving as a trusted partner for multichannel e-commerce success across the globe. Through our unmatched expertise and patented artificial intelligence technology, we fuel exponential growth for over 5,300 brands and sellers worldwide, managing an impressive annual advertising spend that exceeds $2 billion.
Our award-winning platform provides comprehensive coverage across major marketplaces and advertising channels, ensuring optimal reach and performance for every client we serve. This extensive integration translates into unprecedented granularity in campaign management, smarter budget allocation, and bespoke solutions tailored specifically for retailers of all sizes. Our commitment to innovation has been recognized by industry leaders, including Amazon, which awarded us the prestigious title of Best US Scaled Technology Partner in 2022.
At Quartile, we are proud to be an equal opportunity employer, with team members stemming from diverse backgrounds and bringing unique perspectives to our collaborative environment. We value the enrichment that diversity brings to our organization and remain deeply committed to fostering a culture that creates a genuine sense of inclusion and belonging. We welcome new perspectives and affirm that all employment decisions are made without regard to race, color, ancestry, religion, national origin, age, familial or marital status, sex, sexual orientation, pregnancy, gender identity or expression, disability, genetic information, veteran status, or any other classification protected by federal, state, or local law.
Position Overview
We are seeking a talented and innovative Data Engineer to join our dynamic Data Engineering Team in Brazil under a PJ (Pessoa Jurídica) contract structure. This is an exceptional opportunity to work at the intersection of cutting-edge technology and digital advertising, building the data infrastructure that powers decisions for thousands of brands worldwide.
As a Data Engineer at Quartile, you will be part of the team responsible for designing and implementing sophisticated data pipelines that connect to the world's most important advertising channels, including Amazon, Google, Facebook, Instacart, Walmart, and numerous other major platforms. Your work will directly impact how billions of dollars in advertising spend is optimized, making this role both technically challenging and tremendously impactful.
This position offers the unique opportunity to work with massive-scale data systems, modern cloud architecture, and advanced technologies while contributing to a platform that has been recognized as industry-leading. You'll collaborate with talented engineers, data scientists, and product teams to solve complex problems and continuously improve the reliability, performance, and capabilities of our data infrastructure.
Core Responsibilities
Data Pipeline Development and Optimization
You will design, build, and maintain robust data pipelines using Python and PySpark, integrating with APIs from world-leading marketing platforms. These pipelines form the backbone of our platform, ingesting billions of data points daily to power our AI-driven optimization algorithms. Your code will need to handle massive data volumes efficiently while maintaining data quality and reliability.
Architecture Design and Implementation
Working closely with senior engineers and architects, you'll contribute to designing scalable ETL (Extract, Transform, Load) architectures using modern technologies like Databricks and Azure Functions. You'll make critical decisions about data modeling, storage strategies, and processing workflows that impact the entire engineering organization.
Monitoring and Observability
Building data pipelines is only half the battle—ensuring they run reliably is equally important. You'll develop sophisticated monitoring systems that provide visibility into pipeline health, data quality, and performance metrics. When issues arise, your monitoring solutions will enable rapid detection and resolution.
Performance Optimization
You'll regularly profile backend services and databases to identify bottlenecks and optimization opportunities. This involves analyzing query performance, tuning Spark jobs, optimizing data lake storage patterns, and implementing caching strategies to ensure our systems can scale with growing client demand.
Quality Assurance and Testing
You'll develop comprehensive test suites including unit tests, integration tests, and end-to-end tests to ensure data pipeline reliability. Your commitment to quality will help maintain the high standards our clients expect from Quartile's platform.
Data Lake Management
Working with Azure Data Lake and Delta Lake technologies, you'll consume, transform, and organize massive datasets to support various downstream use cases including analytics, machine learning models, and API request generation.
Documentation and Knowledge Sharing
You'll create and maintain clear, comprehensive documentation for the systems you build, ensuring that your teammates can understand, maintain, and extend your work. You'll also contribute to architectural decision records and participate in code reviews to maintain high engineering standards across the team.
Cross-Functional Collaboration
You'll work closely with data scientists who rely on your pipelines for model training, product managers who define requirements for new data sources, and platform engineers who maintain the infrastructure your code runs on. Effective communication and collaboration are essential to success in this role.
Required Qualifications
Technical Skills and Experience
Programming and Data Processing:
- Solid professional experience with Python, including API development, data modeling, and object-oriented programming principles
- Hands-on experience with PySpark, Apache Spark, or Scala for large-scale data processing
- Strong understanding of distributed computing concepts and best practices
Database and Storage Technologies:
- Proficiency with relational databases including MySQL, PostgreSQL, and AWS RDS
- Experience with Data Lake and Delta Lake architectures
- Understanding of database performance optimization, indexing strategies, and query tuning
Cloud Platform Expertise:
- Working knowledge of cloud architecture, specifically Azure or AWS
- Experience designing and deploying cloud-native applications
- Familiarity with cloud storage services, compute resources, and networking concepts
Quality and Performance:
- Demonstrated experience profiling backend services and databases to identify and resolve performance issues
- Strong testing background including unit tests, integration tests, and end-to-end testing
- Commitment to code quality, documentation, and engineering best practices
Methodology and Mindset:
- Experience working in Agile development environments
- Innovative approach to problem-solving and technology adoption
- Self-directed learning and continuous improvement mindset
Language Requirements
- Advanced to fluent English proficiency is required for technical documentation, code reviews, and collaboration with international team members
- Professional Portuguese proficiency for working with local team members
Preferred Qualifications
While not required, the following qualifications will strengthen your application and position you for accelerated growth within the organization:
Advanced Technologies:
- Experience with Databricks for unified analytics and data engineering workflows
- Infrastructure as Code experience, particularly with Terraform
- Familiarity with OAuth authentication workflows and security best practices
- Experience with event-driven architectures using Kafka, Azure Event Hub, or Azure Service Bus
Additional Programming Skills:
- Experience with object-oriented languages such as Scala or Java
- Exposure to functional programming paradigms
Domain Knowledge:
- Understanding of e-commerce business models and operations
- Familiarity with digital marketing concepts, advertising platforms, and campaign optimization
- Experience working with advertising APIs or marketing technology platforms
Machine Learning Engineering:
- Experience building and maintaining infrastructure for machine learning workflows
- Understanding of model serving, feature engineering, and ML operations
Team Skills:
- Demonstrated ability to work effectively in distributed teams
- Positive mindset and collaborative approach to problem-solving
- Experience mentoring junior engineers or contributing to technical communities
What Sets This Opportunity Apart
Impactful Work
Your code will directly influence how thousands of brands optimize billions of dollars in advertising spend. The data pipelines you build enable smarter decision-making for e-commerce businesses worldwide, making tangible impacts on their growth and success.
Technical Excellence
You'll work with modern, cutting-edge technologies and be encouraged to explore new tools and approaches. We invest heavily in our engineering infrastructure and prioritize technical excellence, giving you the opportunity to work with best-in-class platforms and frameworks.
Award-Winning Team
Join a team that has been recognized by Amazon as the Best US Scaled Technology Partner. This recognition reflects our commitment to engineering excellence and innovation in the retail media space.
Scale and Complexity
Working with data from the world's largest advertising platforms at massive scale presents unique technical challenges that will accelerate your growth as an engineer. You'll solve problems that few engineers ever encounter.
Career Growth
We promote from within and provide clear career paths for engineers who demonstrate technical excellence and leadership potential. Many of our senior engineers and technical leaders started in individual contributor roles and grew with the company.
Learning Environment
You'll work alongside talented engineers with diverse backgrounds and expertise. Our culture encourages knowledge sharing, experimentation, and continuous learning.
Contract Details
This position is offered as a PJ (Pessoa Jurídica) contract based in Brazil, providing flexibility and competitive compensation aligned with market standards for experienced data engineers in the technology sector. Compensation is commensurate with experience and includes considerations for technical expertise, scope of responsibility, and demonstrated impact.
The role offers the flexibility of remote work within Brazil while maintaining strong collaboration with team members across different time zones. We provide the tools, resources, and support necessary for remote engineers to thrive and stay connected with the broader organization.
Our Engineering Culture
At Quartile, we believe that great engineering comes from teams that are empowered, supported, and trusted to do their best work. Our engineering culture emphasizes:
Ownership and Autonomy: Engineers own their projects from conception through deployment and maintenance, making technical decisions with guidance from experienced mentors.
Innovation and Experimentation: We encourage trying new technologies and approaches when they can improve our platform, products, or processes.
Work-Life Balance: We respect that our engineers have lives outside of work and structure our processes to avoid unnecessary overtime or burnout.
Inclusive Environment: We value diverse perspectives and ensure everyone's voice is heard in technical discussions and decision-making.
Continuous Improvement: We regularly reflect on our processes, tools, and practices, making iterative improvements based on team feedback.
Application Process
If you've reached this point and feel excited about the opportunity to join Quartile's Data Engineering team, we're eager to meet you. We're looking for people who believe in our mission and can contribute to our team in a variety of ways, not just those who check every box on the requirements list.
We encourage applications from candidates with diverse backgrounds and experiences. If you're passionate about data engineering, excited about working at scale, and committed to building reliable systems, we want to hear from you.
Feel welcome to apply and begin your journey with Quartile—where your code powers the future of retail media.
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