This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Brazil.
This role offers the opportunity to design and scale modern data platforms that support high-volume financial technology solutions.
You will build reliable data infrastructure capable of processing hundreds of millions of events while enabling smarter business decisions.
Working within a fully distributed engineering environment, you will collaborate with product, operations, and business teams to solve complex data challenges.
You will contribute to the evolution of cloud-native data architectures, open-source technologies, and scalable data processing systems.
This position is ideal for an experienced data engineer passionate about distributed systems, automation, and building impactful platforms.
You will play a key role in creating efficient data solutions that support innovation, growth, and global expansion.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Brazil.
This role offers the opportunity to design and scale modern data platforms that support high-volume financial technology solutions.
You will build reliable data infrastructure capable of processing hundreds of millions of events while enabling smarter business decisions.
Working within a fully distributed engineering environment, you will collaborate with product, operations, and business teams to solve complex data challenges.
You will contribute to the evolution of cloud-native data architectures, open-source technologies, and scalable data processing systems.
This position is ideal for an experienced data engineer passionate about distributed systems, automation, and building impactful platforms.
You will play a key role in creating efficient data solutions that support innovation, growth, and global expansion.
Accountabilities:
- Design, develop, and maintain scalable data platform architectures capable of supporting high-volume, low-latency data processing.
- Build and optimize forward and reverse ETL patterns to deliver reliable data flows to internal teams, business stakeholders, and external systems.
- Develop scalable transformation layers that enable consistent integrations with business intelligence and analytics tools across different functions.
- Expand and maintain modern data lakehouse architectures, including ingestion, transformation, storage, monitoring, and consumption layers.
- Collaborate closely with product, sales, marketing, operations, and engineering teams to understand data requirements and deliver effective solutions.
- Manage production data systems, troubleshoot issues, and ensure reliable performance of critical data infrastructure.
- Implement best practices around data quality, observability, automation, and system scalability.
- Contribute to technical decisions involving distributed systems, cloud infrastructure, and open-source data technologies.
- 7+ years of professional experience in data engineering, including experience building scalable data platforms handling more than 100 million events per day.
- Strong programming experience in at least one language, with advanced knowledge of Python and SQL.
- Proven experience designing and operating cloud-native data solutions using platforms such as Google Cloud Platform and related data services.
- Hands-on experience with technologies including Docker, Kubernetes, Helm, and modern cloud infrastructure practices.
- Strong knowledge of relational databases, object storage systems, and data lakehouse technologies such as Apache Iceberg.
- Experience building transformation layers using SQL-based modeling frameworks such as dbt.
- Practical experience with ETL orchestration tools and frameworks such as Apache Airflow and Airbyte.
- Experience working with streaming data systems such as Kafka.
- Familiarity with DevOps practices, Infrastructure as Code (IaC), and tools such as Terraform.
- Deep understanding of distributed systems, storage architectures, transactions, and query processing using technologies such as Trino.
- Ability to work effectively in a fast-paced, remote environment while adapting solutions to evolving business needs.
- Strong analytical skills, problem-solving abilities, and a collaborative mindset.
- Competitive salary package with stock options.
- Comprehensive health benefits.
- Fully remote work environment across North America and LATAM regions.
- One-time home office setup allowance of $500 USD for new hires.
- Monthly remote work stipend of $150 USD through a company expense card.
- Opportunity to work with a globally distributed team of experienced engineers and technology professionals.
- Exposure to large-scale data systems, modern cloud technologies, and open-source solutions.
- Supportive environment focused on innovation, ownership, and continuous learning.