Hybrid Data Engineer: Snowflake, AWS & ETL Architect

PG&E; Oakland (CA); Hybrid; USD 102,000 - 162,000; Full time

Benefits offered by this job

Discretionary incentive compensation

Job summary

PG&E is seeking a Data Engineer to design and optimize data extraction, transformation, and loading pipelines across sources and formats. You will implement transformation logic and store data for stakeholders while collecting metadata on data lineage and transformations.

The role involves collaboration with teams, clients, and leadership throughout the development cycle in a hybrid Oakland-based setting. The position emphasizes modern data architectures, cloud platforms, and scalable pipelines,

Qualifications

• Bachelor's degree in CS or related field.
• 3+ years in data engineering/ETL environments (Informatica, SAP BODS, OBIEE).

Responsibilities

• Analyze and design data pipelines and systems.
• Develop, modify, and test ETL processes and data transformations.
• Collaborate with teams to ensure data quality and lineage.
• Support deployments and monitor system performance.
• Provide solutions aligned with enterprise standards and architecture.

Skills

Data engineering

ETL

SQL

Python

PySpark

Snowflake SQL

Education

Bachelor's Degree in Computer Science or related field

3 years of data engineering/ETL experience

Tools

Informatica

SAP BODS

OBIEE

AWS

GitHub Actions

Jenkins

Terraform

Git

Snowflake Data Cloud

Job description

PG&E is seeking a Data Engineer to design and optimize data extraction, transformation, and loading pipelines across sources and formats. You will implement transformation logic and store data for stakeholders while collecting metadata on data lineage and transformations.

The role involves collaboration with teams, clients, and leadership throughout the development cycle in a hybrid Oakland-based setting. The position emphasizes modern data architectures, cloud platforms, and scalable pipelines,