Senior Cloud Analytics Engineer - Scale Data Platform

CrowdStrike; Austin (TX); On-site; USD 140,000 - 215,000; Full time

Benefits offered by this job

Market compensation

Wellness programs

Paid parental leave

Professional development

Employee networks

Vibrant office culture

Job summary

CrowdStrike is seeking a senior data engineer to scale our data lake and platform, focusing on Java microservices and Spark/Flink processing. You’ll help build and optimize petabyte-scale pipelines and contribute across systems from storage to analytics.

The role spans in-depth data processing, distributed systems design, and cloud-native tooling on AWS, with 2–3 days in-office expectation across multiple U.S. hubs including Austin, TX.

Qualifications

• Degree in a technical field or equivalent experience.
• 10+ years overall backend/cloud and data platform work.
• 5+ years with Spark or Flink or Ray, or at-scale time-series/OLAP DB.
• 5+ years Java/Scala/Kotlin programming.
• Strong knowledge of JVM performance tuning.
• Experience with large-scale data/event pipelines.
• SQL and NoSQL databases (Postgres/MySQL, Cassandra, DynamoDB).

Responsibilities

• Write fault-tolerant Java code within Spark, Flink, and OLAP DBs.
• Design and maintain ultra-high-scale data platforms.
• Participate in technical reviews and feature development.
• Improve latency and efficiency of high-performance services.
• Develop data query capabilities for internal and external users.

Skills

Java

Scala

Kotlin

Python

Spark

Flink

Ray

SQL

NoSQL

Distributed systems

Linux

AWS

Kubernetes

Education

Bachelor's degree in CS/IT/CE

Tools

Spark

Flink

Ray

Kubernetes

Jenkins

Parquet

GRPC

Iceberg

Job description

CrowdStrike is seeking a senior data engineer to scale our data lake and platform, focusing on Java microservices and Spark/Flink processing. You’ll help build and optimize petabyte-scale pipelines and contribute across systems from storage to analytics.

The role spans in-depth data processing, distributed systems design, and cloud-native tooling on AWS, with 2–3 days in-office expectation across multiple U.S. hubs including Austin, TX.