Data Engineer

We are building next-generation GenAI 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 Pythonic data pipeline 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.

Key Responsibilities

• Own, build, and maintain production data pipelines and enrichment services using Python, PostgreSQL, and BigQuery.
• 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 GenAI Protection.

Qualifications

• 4+ 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