Sr. Data Engineer, Big Data - Cloud Security (Remo...

Location: United States

*** Mention DataYoshi when applying ***

At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. We’ve earned numerous honors and top rankings for our technology, organization and people – clearly confirming our industry leadership and our special culture driving it. We also offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. So if you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to stop breaches and protect people globally, let’s talk.

About the Role:

The data engineer in the cloud security product group will take a pivotal role in a hyper-scale data platform and pipeline for real-time security detections. This is a hands-on data engineering role that spans design and development for both SQL and No-SQL databases as a foundation of core cloud security capability.

This is a remote position which can be performed anywhere in the US except for the state of Colorado .

Job Responsibilities

  • Design, develop and maintain a Cloud Security Data Platform at scale.

  • Participate in technical reviews of our products and help us develop new features and enhance stability

  • Continually help us improve the efficiency of our services so that we can delight our customers

  • Help us research and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire


BS and 5+ years or MS and 3+ years in Computer Science or a related field. They should also have experience with the following technologies:

  • Extended experience of data modeling in postgreSQL, Elasticsearch or Cassandra.

  • Expert at developing queries and algorithms in SQL, PL/SQL, CQL, EQL or KQL.

  • Solid background in building large data streaming pipelines (i.e., Kafka or others)

  • Experience with AWS or GCP tools (i.e., EMR, BigQuery, EC2, Lambda, S3, etc.) is a plus.

  • Familiar with graph data development and modeling is a plus.

  • Minimum 3 years of experience developing SQL based data technologies.

  • Minimum 2 years of experience development experience on Elasticsearch and/or Cassandra

  • Good test-driven development discipline

  • Proven ability to work effectively with remote teams

Experience with the followings Is desirable:

  • Kubernetes

  • Jenkins

  • Parquet

  • Protocol Buffers/GRPC

  • Graph data development and modeling




Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards
  • Competitive vacation policy
  • Comprehensive health benefits + 401k plan
  • Paid parental leave, including adoption
  • Flexible work environment
  • Wellness programs
  • Stocked fridges, coffee, soda, and lots of treats

We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives and ways of solving problems so we strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work.

CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

*** Mention DataYoshi when applying ***

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