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Data Platform Engineer

Sardine

🌍 South America 🏠 Remote ⏱ Part-time 💼 Mid-level 🗓 2 days ago

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 ...

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