Remote Technical Lead, Data Engineering & Platform Design

Voreas Laboratories Inc.; Washington, Northern (District of Columbia, KY); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Design ownership

Modern stack

Job summary

Voreas Laboratories Inc. is hiring an Engineering – Technical Lead, Data Engineering to own the schemas, the graph data model, and the detection framework for our data lake platform in Washington, DC. This full-time role includes writing detections and advancing the platform architecture.

You will work with a stack including Amazon EKS, Spark, Iceberg, Delta Lake, Argo, and Python/Scala, while enabling scalable pipelines and production-grade data pipelines. Remote within the US is supported.

Qualifications

• Production Spark against an open table format, including table versioning.
• Schema design that acts as a contract consumed by multiple teams.
• Data modeling that balances storage and query workloads.
• Experience with CI/CD and infrastructure as code.

Responsibilities

• Define canonical table structures for the platform and the evidence model.
• Own the graph data model and how detections are expressed and aged.
• Build a shared four-part detection framework for consistency.
• Define detector interfaces and ensure production feasibility.
• Develop detections within the framework and collaborate with security researchers.

Skills

Production Spark

Schema design

Data modeling

CI/CD

Tools

Amazon EKS

Argo Workflows

Argo CD

Crossplane

Python

Scala

Apache Iceberg

Delta Lake

Job description

Voreas Laboratories Inc. is hiring an Engineering – Technical Lead, Data Engineering to own the schemas, the graph data model, and the detection framework for our data lake platform in Washington, DC. This full-time role includes writing detections and advancing the platform architecture.

You will work with a stack including Amazon EKS, Spark, Iceberg, Delta Lake, Argo, and Python/Scala, while enabling scalable pipelines and production-grade data pipelines. Remote within the US is supported.