Data Platform Engineer

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere

We hire talented, self-motivated individuals with extreme ownership and high growth orientation.

We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

Location:

Remote - Brazil To be considered for this position, you must reside in one of the following cities: São Paulo: São Paulo, Campinas, São José dos Campos

Rio de Janeiro: Rio de Janeiro

Minas Gerais: Belo Horizonte

Paraná: Curitiba

Santa Catarina: Florianópolis

About the role We are seeking a Data Platform Engineer to design and build scalable, data-intensive applications. This role requires expertise in ingesting and transforming large datasets, creating APIs for efficient data retrieval, and developing data products that drive business insights. You will be a key player in shaping our data platform while contributing to backend engineering initiatives. The ideal candidate bridges the gap between traditional data engineering and backend development, building ETL pipelines, APIs, and data-driven solutions with a focus on performance and scalability. What you'll be doing Design and implement ETL pipelines capable of processing terabytes of data efficiently.

Develop and optimize APIs to support fast and reliable data retrieval, including both exact and partial matches.

Architect and manage scalable storage solutions (e.g., Bigtable, BigQuery, ElasticSearch, or other NoSQL/SQL systems).

Collaborate with teams to turn raw data into actionable products, driving insights and business value.

Work closely with both internal and external stakeholders, including data science, product, and operation

Document processes, architectures, and APIs. Mentor junior engineers and foster a culture of technical excellence.

What you'll need Advanced English proficiency (C1 level) is mandatory.

5+ years of experience building scalable backend systems, designing high-performance APIs, and processing large-scale datasets.

Hands-on experience designing and building streaming pipelines using technologies like Apache Flink, Apache Beam, Airflow, and Apache Spark.

Expertise in Go, Python, or Java, combined with a strong foundation in SQL and NoSQL databases (such as Bigtable, BigQuery, or DynamoDB) for scalable storage solutions.

Proficiency with AWS or GCP infrastructure, containerization using Docker and Kubernetes, and managing CI/CD pipelines to support efficient deployments.

Strong analytical skills with the ability to thrive in a fast-paced, team-driven environment and clearly communicate complex technical concepts.

Benefits we offer: Generous compensation in cash and equity

Early exercise for all options, including pre-vested

Work from anywhere: Remote-first Culture

Flexible paid time off and Year-end break

Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific

4% matching in 401k / RRSP - US and Canada specific

MacBook Pro delivered to your door

One-time stipend to set up a home office — desk, chair, screen, etc.

Monthly meal stipend

Monthly social meet-up stipend

Annual health and wellness stipend

Annual Learning stipend

Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. Compensation Range: R$260K - R$485K