Staff Data Engineer- Ohio or EST Time Zone

Netwrix Corporation

About The Position

Netwrix Access Analyzer is a Data Security Posture Management (DSPM) platform that discovers where data lives across enterprise estates, identifies sensitive data, and shows security teams who can access it and how. The Data Team's charter is to provide world-class data storage, reporting, analytics, and visualization capabilities. This role involves deep work on both data engineering (ClickHouse schema, ingestion correctness, materialized-view performance and scale) and analytics (Metabase reporting, embedding, self-service), with the ability to set the technical bar, build automations, and Claude configurations for safe contributions. The ideal candidate will own an area end-to-end and shape its development.

Requirements

5+ years in data/analytics engineering, including prior tech-lead experience
Meaningful time owning an OLAP database in production (ClickHouse ideal; Redshift, BigQuery, Snowflake, and others may be acceptable)
Deep SQL and analytical-engine fluency preferred
Understanding of materialized views, partitioning, and OLAP database design
Demonstrated ability to diagnose and structurally fix performance and memory problems at scale (OOMs, read amplification, runaway joins, recursive/graph queries, etc.)
Strong BI/reporting experience: dashboards and a report-facing layer that real users depend on (Metabase a strong plus; Looker/Superset/Tableau/Power BI transfers)
Comfortable being the single accountable person for an area, setting the bar, and making pragmatic depth-vs-breadth calls
Comfortable working in an AI-first team, driving real work through Claude Code skills/slash commands and authoring configurations for others (and AI)

Nice To Haves

Customer-facing and enablement experience — solution engineering, live demos/streams, technical writing, community/marketplace advocacy
Data-science / statistics experience
Comfort with Golang and Kubernetes