Senior Data Analytics Engineer
Core
Design and operate data pipelines and semantic layers for CSS intelligence, enabling real-time detection, executive reporting, and AI agent consumption.
Role type
Senior Data Analytics Engineer (Production & Semantic Layer)
Builds
Data pipelines, semantic layers, certified measures, and AI-ready feature stores
Domain
Cybersecurity / Financial Intelligence / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Deep SQL, Python, distributed processing (Spark/PySpark), dimensional modeling (star schema), semantic modeling (DAX), data quality/observability, CI/CD, infrastructure as code, query optimization, AI data preparation (feature serving, grounding, retrieval)
Preferred skills
Experience with vector stores/embeddings, agent telemetry ingestion, executive-facing analytics design
Technologies
Spark, PySpark, DAX, SQL, Python, CI/CD, Infrastructure as Code
Responsibilities
Design and operate batch and near real-time data pipelines; build and own the semantic layer for reports and AI agents; implement data quality, observability, and lineage; optimize platform cost and performance; partner with data scientists to productionize models; design for cross-team handoff and documentation
Seniority
Senior, hands-on IC