Expert, Data Engineer - Reliability Data

Requisition ID# 172362

Job Category: Information Technology

Job Level: Individual Contributor

Business Unit: Strategy & Growth

Work Type: Hybrid

Job Location: Oakland

Department Overview

The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. Within this department the Reliability Data team is on point for a key role is developing and curating all reliability data and data pipelines so that they meet auditable standards.

Position Summary

Serves as a recognized subject matter expert in the design, development, and governance of reliability data and data pipelines supporting enterprise reliability and resilience strategy. Leads the architecture and delivery of scalable data solutions that extract, transform, and integrate complex data from diverse sources into high-quality, auditable datasets. Ensures data is accurate, consistent, and structured to support critical analysis, regulatory requirements, and strategic decision-making.

Establishes and enforces standards for data engineering, transformation logic, and metadata management, including comprehensive data lineage and audit documentation. Drives continuous improvement in data quality, pipeline performance, and governance practices to meet evolving regulatory and business needs. Provides technical leadership across the data lifecycle, guiding teams in the implementation of best practices and resolving complex data challenges.

Partners closely with cross-functional teams, data owners, and senior leadership to ensure reliability data solutions align with enterprise objectives and PG&E's Electric Reliability Strategy. Delivers expert-level insight into data integrity, risk, and compliance, enabling trusted, transparent decision-making. Represents the organization in internal and external forums, contributing to industry best practices in reliability data management and analytics.

This position follows a hybrid work model, requiring employees to report to their assigned office location at least two or three days per week. The remaining days may be worked remotely, depending on business needs. The headquarters is located in the Oakland General Office.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the job's locality. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, particular skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired into this role will be placed toward the middle or entry point of the range, the decision will be made on a case-by-case basis based on these factors. This job can also participate in PG&E's discretionary incentive compensation programs.

A reasonable salary range is:
Bay Area Minimum: $140,000
Bay Area Mid-Point: $189,000
Bay Area Maximum: $238,000

Job Responsibilities

* Leads a team on moderately complex to complex data and analytics-centric problems having a broad impact that require in-depth analysis and judgment to obtain results or solutions.
* May contribute to the resolution of uniquely complex data and analytics-centric problems having a significant impact
* Identifies, designs, and implements internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
* Resolves application programming analysis problems of broad scope within procedural guidelines.
* Assists other programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas.
* Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed with verified data quality, and metadata is appropriately captured and cataloged.
* Collaborates with peers to develop departmental standards, norms, and new goals/objectives.
* Plans work to meet assigned general objectives; reviews progress regularly, and solutions may provide an opportunity for creative/non-standard approaches.
* Assesses data pipeline performance and suggests/implements changes as required.
* Communicates (oral and written) recommendations.
* Mentors/guides less experienced colleagues.

Qualifications

Minimum:

* BA/BS in Computer Science, Management Information Systems, related field of study, or equivalent experience.
* 7 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
* Experience with multiple data engineering/ETL ecosystems.
* Experience with machine learning algorithm deployment.

Desired:

* Master's degree in Computer Science, Management Information Systems, or related field, or equivalent experience.
* Experience leading development teams.

Knowledge, Skills, Abilities, and Competencies:

* Business Intelligence and data access tool knowledge.
* Knowledge of software engineering principles such as unit testing, CI/CD, and source control.