Staff Data Engineer

Netwrix Corporation

. Own ClickHouse schema, data model, and migrations .

Posted 9/15/2026full-timeRemote • Ohio • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering with a focus on ClickHouse schema management, OLAP database design, and performance optimization. Proficient in building analytics and reporting solutions using tools like Metabase while ensuring data integrity and operability.

Highest-signal resume keywords

ClickHouse Database ManagementSQL FluencyData Analytics EngineeringMetabase ReportingGolang Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingOLAP Database DesignPerformance TuningMaterialized ViewsData IngestionSQLPythonHelmKubernetesData Visualization

Soft Skills

AccountabilityDecision-MakingCustomer Enablement

Tools & Technologies

MetabaseLookerTableauPower BISuperset

Industry Keywords

Data EngineeringAnalyticsBusiness IntelligenceData StorytellingAI-First Team

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryKubernetesPostgresPythonSQLTableauTypeScriptGo

About the role

Key responsibilities & impact

Own ClickHouse schema, data model, and migrations
Own materialized views, performance, and scale
Own data ingestion, lifecycle, and operability
Build reports and analytics via Metabase
Enable data storytelling
Provide world-class data storage, reporting, analytics, and visualization capabilities
Build automations, Claude configurations, test harnesses, and documentation so humans and AI can contribute safely
Set technical conventions and make pragmatic depth-versus-breadth decisions
Work across SQL, Go, Python, Helm, and potentially TypeScript
Materialize, report, and scale security-posture data correctly without owning connectors, discovery, detection, classification, risk scoring, PostgreSQL, or core application services

Requirements

What you’ll need

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
Ability to diagnose and structurally fix performance and memory problems at scale, including OOMs, read amplification, runaway joins, and recursive/graph queries
Strong BI/reporting experience with dashboards and a report-facing layer used by real users
Metabase is a strong plus; Looker, Superset, Tableau, and Power BI experience transfers
Comfort with Golang and Kubernetes is a huge plus
Comfortable being the single accountable person for an area and making pragmatic depth-vs-breadth decisions
Comfortable working in an AI-first team using Claude Code skills/slash commands and authoring configurations
Customer-facing and enablement experience preferred
Data-science / statistics experience preferred

Benefits

Comp & perks

Competitive Health Benefits
Continuous Learning and Development Opportunities
Team-Oriented, Collaborative, and Innovative Work Environment
Regular Company Town Halls to Keep You Informed
Opportunities for Career Growth and Advancement
Remote-first work environment
Face-to-face interaction with colleagues, customers, and partners