Data Platform Engineer: AI-Powered Data Pipelines & Cloud

Pacific Gas and Electric Company

Oakland (CA)

Híbrido

USD 68.000 - 107.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Pacific Gas and Electric Company is seeking a Data Platform Engineer to build, administer, and support modern data and database infrastructure across AWS and Azure, including SQL Server and PostgreSQL. The role emphasizes data pipelines, data quality, and AI-enabled workflows with Terraform-based provisioning and Azure DevOps for deployments.

The position is hybrid, based in Oakland, with 1-2 days on-site per week.

Formación

  • Bachelor's degree in computer science or related field is required.
  • 2 years of hands-on infrastructure, cloud ops, or database support experience.
  • 1 year in cloud technologies, automation, or cloud-based environments.
  • AWS/Azure data platform certs or equivalent cloud certifications are preferred.

Responsabilidades

  • Build, test, and deploy data solutions and pipelines for relational databases, data lakes, and warehouses.
  • Create data integrity, cleansing, and retention processes.
  • Manage cloud storage objects across AWS/Azure ecosystems.
  • Collaborate with apps teams to resolve data inconsistencies and ensure data quality.
  • Define IaC modules for databases, storage, networking, monitoring, backups, and replication.
  • Support migrations from on-prem to cloud-native databases (SQL Server, PostgreSQL).
  • Assist with database upgrades, patching, and performance tuning in production and non-production environments.

Conocimientos

Cloud operations
Infrastructure automation
Database support
IT functions

Educación

Bachelor's degree in computer science

Herramientas

Terraform
Azure DevOps
SQL Server
PostgreSQL
AWS

Descripción del empleo

Pacific Gas and Electric Company is seeking a Data Platform Engineer to build, administer, and support modern data and database infrastructure across AWS and Azure, including SQL Server and PostgreSQL. The role emphasizes data pipelines, data quality, and AI-enabled workflows with Terraform-based provisioning and Azure DevOps for deployments.

The position is hybrid, based in Oakland, with 1-2 days on-site per week.

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