Data Engineer

Salary: R$285K - R$400K Location Type: Remote Employment Type: FullTime

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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, and Toronto. 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

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About the role:

We are seeking a Data 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.

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What you'll be doing:

• Design and implement ETL pipelines capable of processing terabytes of credit 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.
• Perform analysis on data to figure out the best use of data to provide value to clients.
• Work closely with both internal and external stakeholders, including data science, product, and operations.
• Document processes, architectures, and APIs.
• Mentor junior engineers and foster a culture of technical excellence.

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What you'll need:

• 5+ years of experience building scalable backend systems, designing high-performance APIs, and processing large-scale datasets.
• Expertise in Go, Python, or Java, with a strong foundation in SQL and NoSQL databases (Bigtable, BigQuery, DynamoDB) for scalable storage solutions.
• Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines to support efficient deployments.
• Strong analytical skills, ability to work in a fast-paced, team-driven environment, and communicate complex technical concepts effectively.
• Familiarity with credit or financial data and the regulatory considerations involved in handling sensitive information.
• Proficient in English - from casual chats to formal reports.

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Compensation:

• Base pay range: 285,000 - 400,000 BRL
• Series C Equity with tremendous upside potential
• Attractive benefits

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.

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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, Year-end break, Self care days off
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• 4% matching in 401(k)