Data Engineer

Company Description

We are building next-generation SaaS security intelligence and SaaS Security Posture Management (SSPM) solutions that protect enterprises worldwide. If you enjoy turning complex security data into actionable insights and delivering end-to-end systems, this role is for you.

About the role

You will own, build, and maintain our data pipeline (Python) and enrichment system on top of PostgreSQL and BigQuery . This system powers security analytics, detections, and intelligence. A core part of your job will be to design and implement new components, improve reliability and performance, and ensure data quality and observability.

Job Description

• 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

Qualifications

• 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