Principal Data Platform Engineer for Fraud AI & Data Lake

AppGate; New York (NY); On-site; USD 180,000 - 270,000; Full time

Job summary

AppGate is hiring a Staff or Principal Data Engineer in New York City to own the data platform and data lake for fraud detection and response. As part of a small team, you will manage the end-to-end engineering of the data infrastructure, ensuring reliability, quality, and continuous improvement of data pipelines that fuel AI capabilities.

The ideal candidate has extensive experience with Apache Spark and Flink, along with strong skills in Kubernetes and CI/CD tooling.

Qualifications

• Extensive experience building and operating large-scale data platforms.
• Deep expertise with Apache Spark, Apache Flink, and modern big-data systems.
• Strong production engineering skills across the full delivery lifecycle.

Responsibilities

• Own the design, build, and operation of the data lake end-to-end.
• Build low-latency batch and streaming pipelines for data signals.
• Establish data quality and observability for trustworthy platform.

Skills

Apache Spark

Apache Flink

Kubernetes

CI/CD

Data pipelines

Job description

AppGate is hiring a Staff or Principal Data Engineer in New York City to own the data platform and data lake for fraud detection and response. As part of a small team, you will manage the end-to-end engineering of the data infrastructure, ensuring reliability, quality, and continuous improvement of data pipelines that fuel AI capabilities.

The ideal candidate has extensive experience with Apache Spark and Flink, along with strong skills in Kubernetes and CI/CD tooling.