remote
Senior Analytics Engineer - Security Insights
Data Engineer
Senior Analytics Engineer focused on building secure, cost‑efficient data pipelines and analytical models using DBT, Python, and SQL to deliver security insights and enforce data governance across batch processing workloads.
About the role
Key Responsibilities
- Design, develop, and maintain scalable batch data pipelines that ingest, transform, and enrich security event data.
- Implement DBT models and SQL scripts to enforce data governance, lineage, and quality standards.
- Optimize processing costs by profiling workloads, tuning queries, and leveraging efficient storage formats.
- Collaborate with security analysts to translate detection requirements into analytical datasets and dashboards.
- Monitor pipeline performance, troubleshoot failures, and ensure high availability of security insights.
Requirements
- 5+ years of experience in data engineering or analytics engineering, with a strong focus on security data.
- Proficiency in Python and advanced SQL for data transformation and analysis.
- Hands‑on experience with DBT, batch orchestration tools (e.g., Airflow), and cloud data warehouses.
- Demonstrated ability to optimize data pipelines for cost and performance.
- Solid understanding of data governance, lineage, and security compliance frameworks.