Requisition ID # 172361
Job Category: Information Technology
Job Level: Individual Contributor
Business Unit: Strategy & Growth
Work Type: Hybrid
Job Location: Oakland
Department OverviewThe 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 SummaryDesigns, develops, and leads the implementation of data pipelines and processes to extract, transform, and deliver high-quality reliability data from diverse and complex sources. Defines and applies transformation logic to ensure data is accurate, consistent, and structured to meet enterprise stakeholder needs. Establishes and maintains comprehensive metadata, including data lineage, transformation logic, and audit documentation, to support transparency, governance, and regulatory compliance.
Supports the System Performance, Reliability and Resiliency Strategy team by ensuring the availability of accurate, auditable, and actionable data used to inform PG&E's Electric Reliability Strategy and initiatives. Drives improvements in data quality, pipeline performance, and governance practices to meet evolving regulatory and business requirements.
Leads collaboration with cross-functional teams, data owners, and leadership to resolve complex data challenges, enhance data processes, and align solutions with enterprise objectives. Provides guidance to junior team members and contributes to the development of best practices and continuous improvement across the data lifecycle.
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 locality of the job. 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 towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors. This job can also participate in PG&E's discretionary incentive compensation programs.
A reasonable salary range is:
Bay Area Minimum: $122,000
Bay Area Mid-Point: $158,000
Bay Area Maximum: $194,000
Job Responsibilities Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed.
Partners with various departments to understand and incorporate standards information and requirements into work procedures.
Deploys machine learning algorithms in production environments.
Resolves application programming analysis problems of moderate to complex scope within procedural guidelines. May seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex issues that cross multiple functional/technology areas.
Works on complex data and analytics-centric problems having a moderate impact that require in-depth analysis and judgment to obtain results or solutions
Plans work to meet assigned general objectives; progress is reviewed upon completion, and solutions may provide an opportunity for creative/non-standard approaches.
Communicates (oral and written) recommendations.
Mentors/guides less experienced colleagues.
QualificationsMinimum: BA/BS in Computer Science, Management Information Systems, related field of study, or equivalent experience.
5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
Desired: Experience with machine learning algorithm deployment.
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.
Purpose, Virtues and StandsOur
Purpose explains "why" we exist:
- Delivering for our hometowns
- Serving our planet
- Leading with love
Our
Virtues capture "who" we need to be:
- Trustworthy
- Empathetic
- Curious
- Tenacious
- Nimble
- Owners
Our
Stands are "what" we will achieve together:
- Everyone and everything is always safe
- Catastrophic wildfires shall stop
- It is enjoyable to work with and for PG&E
- Clean and resilient energy for all
- Our work shall create prosperity for all customers and investors
More About Our Company
EEOPacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.
Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link:
Employee Privacy Notice PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.
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