AI Data Engineer
About The Position
The AI Data Engineer designs, builds, and operates enterprise‑grade data and AI platforms using GitOps principles. This role combines data engineering, AI enablement, platform engineering and IT Operations, with a strong emphasis on stability and repeatability. This role directly supports and enables Netwrix products and internal platforms, ensuring that AI and data capabilities align with Netwrix’s security‑first, governance‑driven mission. The AI Data Engineer will work with data generated by or integrated into Netwrix solutions such as: Netwrix Data Security Platform components, including data access governance, data classification, auditing and identity‑centric security telemetry. Platform Governance products (Drata, Salesforce and NetSuite), which generate configuration, change, and audit data requiring structured ingestion and analysis. Identity, endpoint, and infrastructure security products (e.g., Active Directory security, endpoint protection, privileged access, configuration management). Internal AI Agents and Experience Platforms where data must be securely scoped, versioned and observable across multiple domains/tenants.
Requirements
- Bachelor’s Degree in Computer Science, Data Engineering, Engineering, or equivalent practical experience.
- 5 - 7 years of experience in data engineering, platform engineering, or infrastructure roles.
- Strong proficiency in Python and SQL, with working fluency in JSON, YAML, and shell scripting.
- Experience using Gitbased workflows, Infrastructure as Code, and CI/CD pipelines to build and operate data and AI platforms in production environments.
- Experience operating workloads in Azure and AWS.
- Has performed direct and operational applications of large language models (LLMs) and GenAI platforms (OpenAI, Anthropic Claude, Google Gemini) within enterprise controlled environments.
Responsibilities
- GitOps‑Driven Platform & Pipeline Engineering (GitHub, Azure DevOps, Terraform)
- AI & ML Data Pipeline Engineering (Azure ML Feature Store, Databricks Feature Store)
- GenAI & RAG Enablement (Azure OpenAI and AI Search, internal Netwrix data sources; internal AI agents, secured APIs)
- Data Quality, Governance & Observability (Azure Monitor, ML monitoring, Application Insights)
- MLOps & Production Readiness (Azure ML Model Registry, Runbooks, operational handoff documentation)
- Cloud & Platform Engineering (Azure Storage, Azure Kubernetes Service, Azure Container Registry)
- Cross‑Functional Collaboration
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
