Senior Reliability Data Engineer – Data Pipelines

PG&E; Oakland (CA); Hybrid; USD 122,000 - 194,000; Full time

Job summary

PG&E is seeking a Senior Data Engineer - Reliability Data in Oakland, CA, to design and lead data pipelines that deliver auditable, high-quality reliability data. You will establish metadata, data lineage, and governance to support regulatory compliance, enabling enterprise stakeholders to access trustworthy data.

The role supports the Reliability Strategy team, driving data quality, pipeline performance, and governance improvements, while mentoring teammates within a hybrid work model at the

Qualifications

• BA/BS in Computer Science or related field, or equivalent experience.
• 5 years of experience with data engineering/ETL ecosystems.
• Experience deploying machine learning models.

Responsibilities

• Conceptualizes and builds infrastructure for big data access and analysis.
• Partners with departments to incorporate standards and requirements into work procedures.
• Deploys machine learning algorithms in production environments.
• Resolves data analysis problems of moderate to complex scope within procedural guidelines.
• Works on complex data and analytics problems requiring in-depth analysis and judgment.
• Plans work to meet general objectives and uses non-standard approaches when appropriate.
• Communicates oral and written recommendations.
• Mentors junior colleagues.

Skills

ETL

Big data

Machine learning

CI/CD

BI tools

Data governance

Source control

Education

B.S. in CS/MIS

Tools

Palantir Foundry

Spark

Informatica

SAP BODS

OBIEE

Job description

PG&E is seeking a Senior Data Engineer - Reliability Data in Oakland, CA, to design and lead data pipelines that deliver auditable, high-quality reliability data. You will establish metadata, data lineage, and governance to support regulatory compliance, enabling enterprise stakeholders to access trustworthy data.

The role supports the Reliability Strategy team, driving data quality, pipeline performance, and governance improvements, while mentoring teammates within a hybrid work model at the