Design, build, and maintain scalable data pipelines (Spark, Databricks, Delta Lake)
Lead end-to-end projects from implementation to monitoring
Research new SaaS platforms and APIs to identify security detections
Optimize data infrastructure for performance, data integrity, and lifecycle
Mentor engineers and raise technical standards across the team

🎯 Requirements

7+ years in data engineering with large-scale data systems design/build
Mastery of Apache Spark (PySpark preferred) and distributed processing
Expert SQL, data modeling, warehousing and data lake architecture
Direct cybersecurity, threat intel, or security domain experience
Proven Databricks production-grade data solutions

🎁 Benefits

Various health plans
Vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more

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