Senior Cloud Analytics Engineer — Remote Data Platform

CrowdStrike Holdings, Inc.

United States

Hybrid

USD 140,000 - 215,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401k
Paid time off

Job summary

CrowdStrike Holdings, Inc. is seeking a senior data engineer to help build and operate a hyper-scale data lake for analytics, threat hunting, and ML workloads.

You will own crucial graph database work, contribute across pipelines, and work with Java, Spark/Flink, and Kubernetes in a primarily remote setup with targeted NYC-area collaboration. You will design scalable data solutions, ensure fault tolerance, and optimize performance while collaborating with remote teams and leveraging AWS native

Qualifications

  • BS in technical field (CS, IT, Computer Engineering) or 4+ years of equivalent experience.
  • 10+ years experience in backend/cloud and data platform roles.
  • 5+ years building data platforms or features with Spark, Flink or Ray; at-scale DBs like Pinot, Druid or Iceberg.
  • 5+ years programming in Java, Scala or Kotlin; Python acceptable with relevant experience.

Responsibilities

  • Write fault-tolerant Java code within Spark, Flink and OLAP/Time Series DBs to support platform products.
  • Design, develop and maintain ultra-high-scale data platforms processing petabytes of data.
  • Participate in technical reviews and drive new features and stability.
  • Improve efficiency and reduce latency of high-performance services for customers.

Skills

Java
Scala
Kotlin
Spark
Flink
Ray
Distributed systems
SQL
NoSQL
PostgreSQL
MySQL
Kubernetes
Cloud
Data pipelines
AI technologies

Education

Bachelor's degree in CS/IT/CE

Tools

Pinot
Druid
Iceberg
Kubernetes
Parquet
Protobuf/GRPC

Job description

CrowdStrike Holdings, Inc. is seeking a senior data engineer to help build and operate a hyper-scale data lake for analytics, threat hunting, and ML workloads.

You will own crucial graph database work, contribute across pipelines, and work with Java, Spark/Flink, and Kubernetes in a primarily remote setup with targeted NYC-area collaboration. You will design scalable data solutions, ensure fault tolerance, and optimize performance while collaborating with remote teams and leveraging AWS native

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