Sr. Engineer - Data Analytics (Hybrid)
About The Position
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are CrowdStrike, a fast-growing security company that protects our wide range of customers from cybersecurity attacks. We are looking for a strong Data Analytics Engineer to join our team supporting Product and Engineering. In this critical role, you'll partner closely with technical stakeholders to deliver the metrics, models, and infrastructure that drive product strategy, roadmap decisions, and adoption insights. You’ll work with large-scale product telemetry and system data to help CrowdStrike measure feature usage, guide engineering investments, and understand user behavior across our cybersecurity platform. This is a hybrid role based out of our office in NYC. The candidate should be comfortable visiting the office twice a week once the development center is established.
Requirements
- Must be eligible for CJIS clearance (typically requires U.S. citizenship or permanent residency).
- 5+ years of experience in a data-centric role (Data Analyst, Data Engineer, or hybrid).
- Ability to translate business needs into scalable, trustworthy data solutions.
- Experience of architecting data pipelines - data ingestions, ETLs, reporting and visualizations
- Experience extracting data from large data systems. LogScale preferred.
- Experience programming in at least one object-oriented programming language, featuring strong types. Python or Golang preferred.
- Experience developing and consuming RESTful API web services.
- Experience interacting with major cloud provider APIs to provision cloud infrastructure, and to monitor it - Amazon Web Services (AWS), Azure, Google Cloud (GCP) and Oracle Cloud Infrastructure (OCI).
- Experience using RDBMS databases, such as Postgres, and accompanying knowledge of SQL.
- Experience with data modeling and Extract-Transform-Load (ETL).
- Experience with data visualization tools and infrastructures to create insightful reports and dashboards. Tableau preferred.
- Proficiency in using Claude code to build AI-powered reports aggregating data from disparate sources.
Nice To Haves
- Experience with analytical databases.
- Experience with dbt, Airflow, or other modern orchestration frameworks.
- Experience with Golang and Streaming pipelines.
- Knowledge of product telemetry systems or event-based data structures.
- Experience working in cybersecurity, SaaS, or public sector analytics.
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Understanding data structures and commands for a key-value distributed caching solution, such as Redis.
- Understanding data structures and various APIs, for full-text search of application logs and event data in Elasticsearch.
- Experience with Cassandra, CQL, and its wide-column store database.
- Experience using graph structures (ie. nodes, edges), graph data, and graph databases.
- Experience using a message queue. Kafka preferred.
- Strong data visualization skills to present complex data structures proficiently and actionably.
Responsibilities
- Assist our decision makers by gathering insights that help us improve our products or give us hints on areas where we need to put additional focus on.
- Translate business questions from Product and Engineering into clear metrics, models, and visualizations.
- Collaborate with cross-functional teams to define and track product KPIs tied to adoption, engagement, performance, and customer outcomes.
- Design and implement reliable, scalable data pipelines to ingest and transform product usage and adoption data.
- Manage various data sources, creating Extract-Transform-Load (ETL) solutions, and designing data models based on latest technologies and best practices.
- Significant role in defining the data architecture and helping various stakeholders to translate product questions into measurable metrics and KPIs.
- Proactivity, self-learning capabilities and communication are crucial.
- End-to-end ownership of the data pipeline, from data collection to meaningful presentation of the defined metrics.
- Develop ETL jobs to gather data from multiple sources and provide insights into various product areas.
- Build data warehouses where large amounts of metrics and data will be stored.
- Interact with many product groups within the organization to help define business questions and help transform those to metrics.
- Develop and maintain data visualizations that effectively communicate data insights to stakeholders.
- Implement data visualization tools to support the requirements and help present various metrics in a clear and consistent manner.
- Participate in configuring and receiving uptime alerts related to the services you control.
- Keeping services up and running in a healthy state, including optimization of their performance and stability.
- Develop automations for data validation to ensure data integrity and consistency over time.
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
