Senior Data Engineer
Core
Design and own the cloud data platform that fuels fraud detection and identity intelligence products, handling high-throughput streaming signals and low-latency serving.
Role type
Senior IC data engineer (cloud infrastructure & pipelines)
Builds
Cloud data lake/lakehouse, batch and streaming pipelines, orchestration workflows, feature stores, and graph-based fraud intelligence systems.
Domain
Fintech / Risk & Fraud / Identity Verification
Deliverable
production ML models
Required skills
Big data engineering (batch & streaming), Cloud data stack (EMR, Spark, S3, Athena, ClickHouse/Databricks/Snowflake), Pipeline orchestration (Airflow), AWS & Kubernetes, Python/Scala/Java, SQL, RESTful API design, Data quality & governance
Preferred skills
Graph databases (Neo4j, Amazon Neptune), Data quality frameworks (Iceberg, Delta Lake, Hudi), ML platform support (feature stores, training pipelines)
Technologies
AWS, EMR, Spark, S3, Athena, ClickHouse, Databricks, Snowflake, Airflow, Astronomer, Kubernetes, MSK/Kafka, RDS, Neo4j, TigerGraph, Amazon Neptune, Python, Scala, Java
Responsibilities
Architect cloud data lake and lakehouse; Build and operate scalable batch and streaming pipelines; Develop and maintain orchestration workflows; Own reliability, observability, and cost-efficiency of production data infrastructure; Collaborate with data science teams to design feature stores; Mentor engineers and champion data engineering best practices
Seniority
Senior, hands-on IC
