Data Engineer
Core
Build and maintain batch and streaming data pipelines, backend services, and APIs to ingest, clean, and transform data for real-time decisioning and fraud/risk prevention.
Role type
Data Engineer
Builds
Data pipelines, backend services, RESTful APIs, and data quality monitoring for a unified risk decisioning platform
Domain
Fintech / Risk Management / Identity Verification
Required skills
Python, Java, or Scala, SQL, distributed data processing (Spark), backend services, REST APIs, cloud platforms (AWS), Git, CI/CD
Preferred skills
Docker, Kubernetes, Terraform, Kafka, Airflow, EMR, Athena, ClickHouse, Databricks, Snowflake, Iceberg, Delta Lake, Hudi, Prometheus, Grafana, Datadog, graph databases
Technologies
Spark, Kafka, Airflow, AWS (S3, EC2), Docker, Kubernetes, Terraform, Neo4j, TigerGraph, Amazon Neptune, Prometheus, Grafana, Datadog
Responsibilities
Build and maintain batch and streaming pipelines; Write and own backend services and RESTful APIs; Develop Airflow DAGs for reporting and model training; Write and tune Spark jobs and SQL transformations; Add monitoring, alerting, and data quality checks; Debug production issues across the stack; Work with infrastructure (containers, deployments, cluster configs)
Seniority
Mid-level, hands-on IC
