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Data Engineering, Advisor

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Manage and scale data pipelines from internal and external sources

  • Build and maintain big data pipelines and ETL processes

  • Develop and maintain data warehouse schemas and data models

  • Set data governance, naming conventions and best practices

  • Design Data-as-a-Service candidates for better data access

From the employer’s posting
Manages and scales data pipelines from internal and external data sources
Builds and maintains data pipelines using big data processing technologies
Develops and maintains data warehouse schema and data models, ensuring data consistency and accuracy.
Provides governance and oversight of data assets, data environments and relevant data procedures
Identifies and designs Data-as-a-Service candidates for improved data availability and consumption.

What you’ll bring

All qualifications

Core experience

  • 7+ years processing large data sets, including transformation and aggregation
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics/Mathematics or STEM
  • Must pass a Personnel Risk Assessment (PRA) or background investigation

Preferred experience

  • Experience leading the architecture, engineering, and operationalization of large-scale data platforms supporting utility, energy, critical infrastructure, or operational technology (OT) environments.
  • Experience establishing DataOps, DevSecOps, and CI/CD practices for data engineering teams
  • Knowledge of utility regulatory, cybersecurity, and compliance requirements, including NERC-CIP, data privacy, and critical infrastructure protection principles.
  • Experience serving as a technical leader for cross-functional initiatives involving Grid Operations, Asset Management, Cybersecurity, Information Technology, and enterprise data organizations.
Qualification wording
Seven or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering.
Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major.
the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation.
Experience leading the architecture, engineering, and operationalization of large-scale data platforms supporting utility, energy, critical infrastructure, or operational technology (OT) environments.
Experience establishing DataOps, DevSecOps, and CI/CD practices for data engineering teams
Knowledge of utility regulatory, cybersecurity, and compliance requirements, including NERC-CIP, data privacy, and critical infrastructure protection principles.
Experience serving as a technical leader for cross-functional initiatives involving Grid Operations, Asset Management, Cybersecurity, Information Technology, and enterprise data organizations.
Education & alternatives
Minimum Qualifications - Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major. - Seven or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering.

About Southern California Edison

The people at SCE don't just keep the lights on.

In the employer’s words · Read in context

Posting record

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Status in our records
Live
First seen by us
Oct 1, 202633 days ago
Recorded sightings
140
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 33

Similar jobs usually come down between day 6 and day 54.

From 10,805 similar postings that came down. Coming down is not always a hire.

Southern California Edison is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

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Complete your application on www.edisoncareers.com. The employer’s form will show what is required.

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Has Southern California Edison posted this job before?

Yes. We’ve followed one other Data Engineering, Advisor job there since May 2026. It is still up.

  1. PomonaStill up after 183 days, first seen May 5
  2. This jobUp 34 days so far, first seen Oct 1

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

 

Join the Clean Energy Revolution

 

Become a Data Engineering Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll serve as a strategic technical leader responsible for enabling Grid modernization, operational intelligence, data-driven decision making and AI adoption across SCE. Your objective is to drive adoption of the Grid Data Platform while guiding its continuous improvement and evolution to meet SCE’s changing business and technology needs.

 

As a Data Engineering Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

 

Responsibilities

  • Manages and scales data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
  • Facilitates data engineering activities covering data acquisition, extraction, normalization, transformation, management, and manipulation of large and complex data sets.
  • Keeps abreast of new and current data engineering, big data and data science techniques. Researches methods, techniques, and new practices; develops and promotes data engineering best practices, standards and guidelines.
  • Works closely with subject matter experts to design and develop front-end applications with data models and data pipelines supporting the applications.
  • Provides governance and oversight of data assets, data environments and relevant data procedures, with the proactive planning and enforcement of data asset naming conventions.
  • Builds and maintains data pipelines using big data processing technologies to process and analyze large datasets; uses ETL processes on the internal cluster.
  • Develops and maintains data warehouse schema and data models, ensuring data consistency and accuracy.
  • Ensures ongoing alignment of technical and business strategies based on changing business and technology drivers and risks.
  • Creates advanced visualizations and tools to provide insight, drives action, and supports work throughout the business.
  • Identifies and designs Data-as-a-Service candidates for improved data availability and consumption.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications

  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major.
  • Seven or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering.

 

Preferred Qualifications

 

  • Seven or more years of experience designing, implementing, and supporting enterprise-scale data platforms, data lakes, lakehouses, data fabrics, or modern analytics ecosystems.
  • Experience leading the architecture, engineering, and operationalization of large-scale data platforms supporting utility, energy, critical infrastructure, or operational technology (OT) environments.
  • Experience establishing DataOps, DevSecOps, and CI/CD practices for data engineering teams
  • Knowledge of utility regulatory, cybersecurity, and compliance requirements, including NERC-CIP, data privacy, and critical infrastructure protection principles.
  • Experience serving as a technical leader for cross-functional initiatives involving Grid Operations, Asset Management, Cybersecurity, Information Technology, and enterprise data organizations.

 

Additional Information

 

  • This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • The primary work location for this position is Rosemead, CA. 
  • Position will require up to 20% traveling and being out in the field throughout the SCE service territory. 
  • This position has been identified as a NERC/CIP impacted position - Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation.  Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties.

 

About Southern California Edison

 

The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

 

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.

 

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at AskHR@sce.com or (626) 302-3456 and select option 2.

 

 

Source details

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Pay

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Location & working pattern

Rosemead, CA, US

Additional Information - This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. - Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
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