Lorven Technologies Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Charlotte, NC, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Terraform, GCP, and SQL. A bachelor's degree in a related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Unit Testing #Monitoring #Regression #BigQuery #API (Application Programming Interface) #Data Engineering #Security #SQL (Structured Query Language) #Dataflow #Documentation #Data Catalog #Compliance #Deployment #Observability #Cloud #Logging #IAM (Identity and Access Management) #Terraform
Role description
Hi
Our client is looking for a Data Engineer project in Charlotte, NC below is the detailed requirement.
Job positing Title : Data Engineer
Location: Charlotte, NC
Required Skills: Design, develop, and maintain reusable, Terraform modules for Google Cloud Platform services
Job description:
• Bachelor’s degree in related field.
• Design, develop, and maintain reusable, Terraform modules for Google Cloud Platform services and platform observability components.
• Build and publish Terraform modules to the Terraform Enterprise Private Registry, ensuring modules are parameterized, versioned, and reusable across teams and environments.
• Develop Terraform modules for GCP observability and monitoring, including alerting policies, monitoring dashboards, log-based metrics, uptime checks, metrics scopes, quota monitoring, and notification channels.
• Implement Infrastructure-as-Code modules supporting GCP services such as IAM, KMS, GCS, BigQuery, BigLake, Bigtable, Cloud Composer, GKE, Cloud SQL, Cloud Functions, Data Catalog, Dataplex, Dataproc, and Dataflow.
• Develop SDLC-promotable Terraform code that supports environment-based deployments (dev, test, prod) and enables multi-tenant rollouts across business units and applications.
• Integrate Terraform modules with CI/CD pipelines to support automated validation and deployment, including Terraform plan/apply workflows, linting and static analysis, unit testing (TF Test), and policy validation.
• Conduct unit, integration, and regression testing of Terraform modules to ensure reliable, repeatable, and idempotent infrastructure deployments.
• Troubleshoot provisioning issues related to IAM permissions, API enablement, quotas, state management, dependencies, or resource conflicts.
• Optimize logging and monitoring configurations to balance observability, cost efficiency, and operational performance.
• Maintain comprehensive module documentation, usage examples, runbooks, and deployment guides to support operational excellence and team adoption.
• Analyze PRISMA violation reports and governance findings to identify compliance issues, security risks, and cost optimization opportunities across GCP environments."
Hi
Our client is looking for a Data Engineer project in Charlotte, NC below is the detailed requirement.
Job positing Title : Data Engineer
Location: Charlotte, NC
Required Skills: Design, develop, and maintain reusable, Terraform modules for Google Cloud Platform services
Job description:
• Bachelor’s degree in related field.
• Design, develop, and maintain reusable, Terraform modules for Google Cloud Platform services and platform observability components.
• Build and publish Terraform modules to the Terraform Enterprise Private Registry, ensuring modules are parameterized, versioned, and reusable across teams and environments.
• Develop Terraform modules for GCP observability and monitoring, including alerting policies, monitoring dashboards, log-based metrics, uptime checks, metrics scopes, quota monitoring, and notification channels.
• Implement Infrastructure-as-Code modules supporting GCP services such as IAM, KMS, GCS, BigQuery, BigLake, Bigtable, Cloud Composer, GKE, Cloud SQL, Cloud Functions, Data Catalog, Dataplex, Dataproc, and Dataflow.
• Develop SDLC-promotable Terraform code that supports environment-based deployments (dev, test, prod) and enables multi-tenant rollouts across business units and applications.
• Integrate Terraform modules with CI/CD pipelines to support automated validation and deployment, including Terraform plan/apply workflows, linting and static analysis, unit testing (TF Test), and policy validation.
• Conduct unit, integration, and regression testing of Terraform modules to ensure reliable, repeatable, and idempotent infrastructure deployments.
• Troubleshoot provisioning issues related to IAM permissions, API enablement, quotas, state management, dependencies, or resource conflicts.
• Optimize logging and monitoring configurations to balance observability, cost efficiency, and operational performance.
• Maintain comprehensive module documentation, usage examples, runbooks, and deployment guides to support operational excellence and team adoption.
• Analyze PRISMA violation reports and governance findings to identify compliance issues, security risks, and cost optimization opportunities across GCP environments."
