Netwrix Corporation

Staff Data Engineer

Netwrix Corporation

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

Amazon RedshiftBigQueryKubernetesPostgresSQLTerraform

About the role

  • Design and maintain standardized data schemas used across different data sources and storage systems
  • Define data contracts and models to ensure consistent representation of entities such as users, groups, resources, and permissions
  • Develop and maintain schema evolution and versioning processes to support iterative product development
  • Ensure data models are optimized for both transactional and analytical workloads
  • Collaborate with engineering and product teams to align data models with business logic and reporting requirements
  • Design and optimize ClickHouse schemas for analytical and time-series workloads
  • Maintain PostgreSQL schemas for metadata, configuration, and application-level data
  • Develop indexing, partitioning, and retention strategies that balance performance, scalability, and cost
  • Define transformation specifications to ensure consistency between raw and analytical data layers
  • Establish naming conventions, data types, and relationship standards for all stored data
  • Implement validation and normalization checks to ensure incoming data adheres to defined schemas
  • Partner with QA and product teams to verify that stored data accurately represents system behavior and business intent
  • Maintain clear documentation and metadata definitions for all datasets and structures
  • Manage schema migrations and versioning through CI/CD workflows
  • Collaborate with DevOps teams to deploy and monitor databases in Kubernetes-based environments
  • Use Infrastructure as Code tools (Helm, Terraform, or similar) for consistent database provisioning
  • Support observability and monitoring for data performance and reliability.

Requirements

  • 5+ years of experience in data engineering, backend development, or database architecture
  • Hands-on experience with ClickHouse or other columnar analytics databases (e.g., Redshift, BigQuery, Snowflake)
  • Strong proficiency in PostgreSQL and SQL query optimization
  • Solid understanding of database administration, indexing, and performance tuning
  • Demonstrated experience designing data models for complex or multi-system environments
  • Familiarity with data contracts, schema evolution, and versioning best practices
  • Experience enforcing data standards and conventions across teams or systems
  • Understanding of metadata and documentation management (e.g., dbt, OpenMetadata, or similar)
  • Experience deploying and managing databases with Kubernetes and containers
  • Knowledge of CI/CD pipelines and Infrastructure as Code (Helm, Terraform, GitHub Actions, etc.)
  • Understanding of observability and performance monitoring for data systems.
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringbackend developmentdatabase architectureClickHousePostgreSQLSQL query optimizationdatabase administrationindexingperformance tuningdata modeling
Soft Skills
collaborationdocumentation managementdata standards enforcementproblem-solvingcommunication