Check Point Software
Data Engineer
TLDR
Build Python data pipelines and enrichment services that power security analytics, threat intelligence, and detections across SSPM, DLP, and malware protection.
- Own, build, and maintain production data pipelines and enrichment services using Python, PostgreSQL, and BigQuery in a GCP cloud environment.
- Architect data systems end to end, including design, deployment, monitoring, and iterative improvement.
- Analyze complex security datasets and SaaS telemetry to uncover risks, patterns, and opportunities.
- Research emerging threat vectors and contribute to automated intelligence feeds and published reports.
- Work across security domains such as SSPM, Shadow Integrations, DLP, and Malware Protection
- 5+ years in data-focused roles (engineering, analytics, science)
- Strong SQL and Python skills
- Experience with cloud platforms (GCP, AWS, Azure) and modern data warehouses (BigQuery, Databricks)
- Proven ability to build data infrastructure from scratch
- Ability to turn complex data into actionable insights
- Fast learner with systematic problem-solving skills
- Comfortable with technical research in unfamiliar domains
- Independent and determined, with strong collaboration skills
- BSc in Computer Science, Mathematics, Statistics, or related field
- Excellent communication skills for technical and non-technical audiences
Check Point Software builds advanced cybersecurity solutions that protect over 100,000 organizations globally from sophisticated cyber and AI-driven threats. Their innovative platforms, including Agentic Network Security Orchestration, leverage AI to secure hybrid networks, cloud environments, and digital workspaces, enabling customers to navigate a complex digital landscape with confidence.
- Founded
- Founded 1993
- Employees
- 500+ employees
- Industry
- computer & network security
- Funding stage
- Public
- Stock ticker
- Publicly traded (CHKP)
- Total raised
- $1.8B raised
- Last funding
- Raised December 2025
Data Engineer