Jobs / Pac***

Principal Data Engineer - Location Flexible

Pac*** · Oakland, CA, United States
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Oakland, CA, United States147,000-265,000 USD/yearlyHybrid
Remuneration
147,000-265,000 USD/yearly
Location
Oakland, CA, United States
Visa sponsorship
Sponsors visa

Job summary

Requisition ID # 172235 Job Category: Information Technology; Engineering / Science; Maintenance / Construction / Operations Job Level: Manager/Principal Business Unit: Strategy & Growth Work Type: Hybrid Job Location: Oakland; Alameda; Alta; American Canyon; Angels C& Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch C& Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Be

Benefits

PG&E is providing the salary range that the company in good faith believes it miThis compensation range is specific to the locality of the job.The actual salary paid to an individual will be based on multiple factors, inclu

Qualifications

  • into integrated data solutions.
  • Drives the development of departmental data engineering standards and best practices.
  • Leads continuous improvement initiatives including performance optimization and automation.
  • Provides hands-on guidance for complex, multi-platform technical challenges.
  • Supports advanced analytics and machine learning deployment at scale.
  • Mentors engineers and supports technical capability development across teams.
  • Minimum: Bachelor’s degree in Computer Science, MIS, 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.

Responsibilities

  • The Principal Data Engineer serves as a principal technical leader responsible for shaping, designing, and advancing enterprise-scale data infrastructure and data engineering solutions.
  • Forms and leads cross-functional teams to address complex, enterprise-level data and analytics problems with broad business impact.
  • Designs and advances enterprise data infrastructure ensuring scalability, reliability, and data quality.
  • Partners with business units to translate complex

Skills

CommunicationCustomer ServiceFrenchLeadershipSAP

Degrees

AssociateDegree

Languages

French

Industry

AutomotiveEducationLogistics

Company size

EnterpriseSmb

Contract length

10 years