Staff Data Engineer- Ohio or EST Time Zone

🏢 Netwrix · all 6 jobs
📍 United States
📅 Posted Sep 19, 2026 · via Himalayas
🏷 Data Engineering, Analytics Engineering, Staff Data Engineer, Data Infrastructure, Business Intelligence, Data Engineer +3 more
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About Us

At Netwrix , our mission is to revolutionize data security by placing identity at the core - providing unparalleled visibility and control. Engineered and supported by over 900 highly talented, motivated employees and hundreds of trusted partners in nearly every geography, Netwrix solutions are relied upon daily by security professionals across more than 13,500 organizations in over 100 countries around the world.

Over the past two decades, Netwrix has expanded its market presence through innovation, organic growth, and strategic acquisitions, and are proud to be backed by renowned private equity firms, TA Associates and Centerbridge Partners. Netwrix maintains a global presence, fostering a remote-first work environment while encouraging and facilitating frequent face-to-face interaction with colleagues, customers, and partners.

About Netwrix Access Analyzer

Netwrix Access Analyzer is a Data Security Posture Management (DSPM) platform. It discovers where data lives across enterprise estates—Active Directory and LocalGroups identity, CIFS/SMB file shares, SharePoint Online, and more, and tells security teams what is sensitive data, who can reach it, how, and where that exposure could be dangerous. Our customers are CISOs, compliance and data-governance leaders, and the security analysts who live in the product day to day. They don’t want a data dump; they want answers: who has access to this sensitive share, which groups are stale or over-permissioned, where is data open to everyone, etc.

The Data Team

Data’s charter: provide world-class data storage, reporting, analytics, and visualization capabilities that enable customers to understand and act on their data security posture. That means owning the ClickHouse warehouse, the Metabase analytics tier (pre-built and self-service reporting) and the data infrastructure makes sure our application data layer scales as customer data volumes climbs.

You’ll go deep on both the data-engineering side (ClickHouse schema, ingestion correctness, materialized-view performance and scale) and the analytics side (Metabase reporting, embedding, self-service), prioritizing pragmatically rather than splitting attention evenly. You set the technical bar, build the automations and Claude configurations that let anyone (including AI) contribute safely. If you want to own an area end-to-end and shape how it’s built, this is it.

What You’ll Own / Key Responsibilities

- ClickHouse schema, data model, and migrations

- Materialized views, performance, and scale

- Data ingestion, lifecycle & operability

- Building reports and analytics via Metabase

- Enablement & data storytelling

What We’re NOT Asking You To Own

While we don’t ask you to own these, we of course welcome you to be apart of them (and encourage you to!):

- Connectors, the connector framework, or scan logic (what we call Discovery)

- Detection, classification, risk scoring, and other security posture calculations. You materialize, report, and scale these correctly; you don’t have to author the domain logic that decides what they mean.

- The PostgreSQL application database. It’s adjacent for your information, but not your center of gravity.

- The core application, orchestration services, etc. The Core team is responsible for the application up until it connects to Metabase.

Required Qualifications

- 5+ years in data/analytics engineering, including prior tech-lead experience, with meaningful time owning an OLAP database in production. ClickHouse is ideal; Redshift, BigQuery, Snowflake, and others may be acceptable.

- Deep SQL and analytical-engine fluency preferred. An understanding of materialized views, partitioning, and OLAP database design design are important.

- Demonstrated ability to diagnose and structurally fix performance and memory problems at scale. OOMs, read amplification, runaway joins, recursive/graph queries, and more.

- Strong BI/reporting** experience: dashboards and a report-facing lay

Flights + hotels

This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.

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