We are a leader in fraud prevention and AML compliance, 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.
Requirements
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. Benefits
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
