Who we are
Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products.
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
- Santa Catarina: Florianópolis
About the role
We are seeking a Senior 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 social meet-up stipend
- Annual health and wellness 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.
To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice https://www.sardine.ai/applicant-and-worker-privacy-notice.
Sourced directly from the company's job board — apply on their site.