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Principal Data Engineer
Pacific Gas And Electric Company
- United States
- United States
Über
Job Category: Information Technology
Job Level: Manager/Principal
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: Oakland
Department Overview
The Technology & Data Strategy team within the Land, Environmental and Permitting Services (LEAPS) Organization delivers a broad range of expertise and services to drive integrated, cross-organizational solutions for LEAPS. The Technology & Data Strategy (T&DS) is responsible for building, maintaining, enhancing, and analyzing systems and data applications, as well as creating visualization that provides valuable information. The team's mission is to provide practical and relevant insights from data, that supports strategic and informed decisions.
Position Summary
The Principal Data Engineer designs, develops, modifies, configures, debugs and evaluates solutions for extracting data from various sources, implements transformation logic, and stores data in various formats fit for use by the resource planning and strategy team. Collects metadata about jobs/sources including data lineage and transformation logic to create data models and ensure data is accessible to the team. Works with IT teams, data owners, functional area leads and leadership throughout the development cycle practicing continuous improvement. The data engineer identifies and solves current gaps in data requirements and creates ease of access to ensure fast and consistent responses to leadership inquiries.
This position is hybrid, working from your remote office and your assigned work location based on business needs or company requirements. The assigned work location will be within the PG&E Service Territory and will be agreed upon by the successful candidate and hiring leader.
PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.
Bay Area Min: $155,000
Bay Area Mid: $210,000
Bay Area Max: $265,000
Job Responsibilities • Forms and leads teams to focus on complex data and analytics-centric problems having broad and significant impact that require in-depth analysis and judgment to obtain results or solutions. • Contributes to the resolution of uniquely complex data and analytics-centric problems having significant impact. • Creates and maintains optimal data pipeline architecture • Created complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing. • Provides thought leadership on infrastructure that allows data to be accessed and analyzed with verified data quality and metadata appropriately captured and catalogued. • Aids other programmers /analysts on unusual or especially complex problems that cross multiple functional/technology areas. • Works closely with other departments on cross-team work needs/requirements. • Partners with the business and other departments to develop requirements and assemble large, complex data sets that meet functional / non-functional business requirements. • Drives the development of departmental standards, norms, and new goals/objectives. • Communicates (oral and written) recommendations. • Mentors/provides guidance to less experienced colleagues.
Qualifications
Minimum • BA/BS in Computer Science, Management Information Systems or related field of study, or equivalent experience • 10 years of experience with multiple data engineering/ETL ecosystems such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE. • Experience with multiple data engineering/ETL ecosystems. • Proven track record of successfully implementing data warehouses/data lakes over previous five years. • Experience leading development teams. • 3 years of experience in machine learning algorithm deployment and machine learning operations.
Desired • Familiarity with utility operations • Experience in Snowflake or Microsoft Fabric • Experience in Power BI Dataflows and Semantic Models
Purpose, Virtues and Stands
Our
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
EEO Pacific 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.
Sprachkenntnisse
- English
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