- Design and build data systems and analytics tools
- Deliver accurate insights that drive business choices and product decisions
- Balance several projects at once and communicate trade-offs to stakeholders
- Build data pipelines that process large amounts of data
- Use AI tools daily and share usage practices with the team
- Ask smart questions and shape outcomes
- Own work and ensure successful delivery
- Capture, transform, and integrate data from multiple sources into a unified analytics platform
- Collaborate across multiple product groups and disciplines to drive impact
- Shape CrowdStrike's analytics stack and support product decisions, threat detection, and trusted analytics
Requirements
- Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field, or equal work experience
- Strong programming skills in at least one modern language, such as Python or Go
- Deep SQL expertise
- Hands-on experience with modern data platforms, including RDBMS, NoSQL, or Graph databases
- Ability to design systems for moving and changing data at scale using tools such as Kubernetes and Docker
- Experience with cloud infrastructure, including AWS, GCP, OCI, or Azure
- Strong data visualization and storytelling skills
- Experience with BI tools such as Tableau, Looker, Power BI, or similar platforms
- Thorough understanding of engineering best practices, including testing paradigms, peer code reviews, and resilient architecture design
- Excellent communication skills for translating complex technical concepts to cross-functional audiences
- Experience in a SaaS environment
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes
- Experience using predictive analytics, machine learning, and/or AI to solve business problems
- Experience designing and executing enterprise-scale semantic layers
- Thought leadership in analytics and data engineering
- Experience with Snowflake, Amplitude, Tableau, or other modern analytics platforms
- Ability to thrive in fast, team-based, iterative programming environments
- Track record of high-quality work delivered on time
Core Competencies
Demonstrates expertise in designing and building data systems and analytics tools, with strong programming skills in Python or Go, deep SQL expertise, and hands-on experience with modern data platforms. Proven ability to deliver insights that drive business decisions and collaborate across teams in a fast-paced, iterative environment.
Highest-signal resume keywords
- Python Programming
- Deep SQL Expertise
- Data Pipeline Development
- Cloud Infrastructure (AWS, GCP, OCI, Azure)
- Experience with BI Tools (Tableau, Looker, Power BI)
ATS Optimization Keywords
Hard Skills
- Data Systems Design
- Analytics Tools Development
- Data Transformation
- Predictive Analytics
- Machine Learning
- AI Technologies
- Semantic Layer Design
- Engineering Best Practices
- Data Visualization
- Data Integration
Soft Skills
- Excellent Communication Skills
- Collaboration
- Project Management
- Problem-Solving
- Thought Leadership
Industry Keywords
- SaaS Environment
- Data Engineering
- Business Intelligence
- Analytics Stack
- Cross-Functional Collaboration
Tools & Technologies
- Kubernetes
- Docker
- Snowflake
- Amplitude
- Modern Data Platforms
Senior Engineer – Product Insights in new york at Unknown Company
This position is listed as full time and onsite.