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.
Data Engineering, Senior Advisor
Pomona, CA, US
Live, first seen by us 62 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and build end-to-end ETL data pipelines from multiple source systems
Own the data architecture for the energy team with data science and engineering
Design an Enterprise Data Lake for analytics and reporting
Build and maintain data warehouse schemas and data models
Support data scientists with predictive and machine learning models on large datasets
From the employer’s posting
developing data integration pipelines (ETL) sourcing from various databases and systems
Conceptualizes and owns the data architecture on behalf of the energy team
Designs Enterprise Data Lake to provide support for various uses cases
Develops and maintains data warehouse schema and data models
Supports Data Scientists with their development of predictive and other models
What you’ll bring
All qualificationsCore experience
- 10+ years processing large data sets, including transformation and aggregation
- Bachelor's degree in computer science, information systems, engineering, statistics/mathematics, or equivalent STEM…
- Hands-on experience with Python, SQL, and ETL tools such as Airflow or Azure Data Factory
Preferred experience
- Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms
- Understanding of cloud-based data storage and architecture
- Proven ability to implement data validation, metadata management, and ensure consistency and accuracy across systems
- Experience working in the electric utility industry or with infrastructure investment planning
Qualification wording
Ten or more years of experience in data processing large data sets
Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major.
Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms
Understanding of cloud-based data storage and architecture
Proven ability to implement data validation, metadata management, and ensure consistency and accuracy across systems
Experience working in the electric utility industry or with infrastructure investment planning
Education & alternatives
Minimum Qualifications - Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major. - Ten 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
Report an error- Status in our records
- Live
- First seen by us
- Sep 3, 202662 days ago
- Recorded sightings
- 248
- 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
Time since we first saw it
Day 62
Up longer than most. 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
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Snowflake
- Airflow
Where the posting names them
Join the Clean Energy Revolution Become a Data Engineering, Senior Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be responsible for developing data integration pipelines (ETL) sourcing from various databases and systems. The senior advisor will develop programs using coding languages (i.e. Python, SQL) and/or low-code environments (i.e., Palantir Foundry) to create analyses and applications for stakeholders throughout Transmission & Distribution (T&D). The candidate is therefore expected to work on data governance, data architecture, data engineering solutions, and best practices for analyzing very large datasets. Additionally, the candidate will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and keep abreast of new and current data engineering techniques. As a Data Engineering, Senior 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?
Preferred Qualifications - Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms - High competency with systems like Palantir Foundry, Snowflake, AWS or similar platforms
- Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms - High competency with systems like Palantir Foundry, Snowflake, AWS or similar platforms - Additional certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.
- High competency with systems like Palantir Foundry, Snowflake, AWS or similar platforms - Additional certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc. - Understanding of cloud-based data storage and architecture
Day In The Job - Manages and scales data pipelines from internal and external data sources to support new product launches and drive data quality across data products (Palantir Foundry, Snowflake, SAP Datasphere). - Facilitates data engineering activities covering data acquisition, extraction, normalization, transformation, management, and manipulation of large and complex data sets.
Your next step
Complete your application on www.edisoncareers.com. The employer’s form will show what is required.
Already applied? Track this application
Has Southern California Edison posted this job before?
Yes. We’ve followed one other Data Engineering, Senior Advisor job there since September 2026. It is still up.
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
Join the Clean Energy Revolution
Become a Data Engineering, Senior Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be responsible for developing data integration pipelines (ETL) sourcing from various databases and systems. The senior advisor will develop programs using coding languages (i.e. Python, SQL) and/or low-code environments (i.e., Palantir Foundry) to create analyses and applications for stakeholders throughout Transmission & Distribution (T&D). The candidate is therefore expected to work on data governance, data architecture, data engineering solutions, and best practices for analyzing very large datasets. Additionally, the candidate will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and keep abreast of new and current data engineering techniques.
As a Data Engineering, Senior 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?
Day In The Job
- Manages and scales data pipelines from internal and external data sources to support new product launches and drive data quality across data products (Palantir Foundry, Snowflake, SAP Datasphere).
- 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.
Responsibilities
- Conceptualizes and owns the data architecture on behalf of the energy team in collaboration with data science and engineering teams.
- Improves performance by optimizing computing time to process the streaming data and saves cost to company by optimizing cluster run time.
- Identifies opportunities for building of value-added datasets to facilitate realization of enterprise use cases and for optimizing cloud costs.
- Establishes transactional data orchestration, data lake, reporting platform strategy and roadmap formulation for data intensive enterprise transformation programs.
- Delivers metadata management implementation to improve data governance maturity and data ownership. Oversees data platform to ensure that the service delivery is efficient and business SLAs around uptime, performance and capacity are met.
- Designs Enterprise Data Lake to provide support for various uses cases including Analytics, processing, storing, and reporting of voluminous, rapidly changing data.
- Designs and develops end-to-end data pipelines for the organization, resulting in improved data quality and reduced data processing time.
- Supports Data Scientists with their development of predictive and other models, with respect to large scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning and deep learning.
- Contributes to data dictionary and data mapping from sources to the target in SCIM Data Model.
- 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.
- Ten or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering.
Preferred Qualifications
- Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms
- High competency with systems like Palantir Foundry, Snowflake, AWS or similar platforms
- Additional certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.
- Understanding of cloud-based data storage and architecture
- Proven ability to implement data validation, metadata management, and ensure consistency and accuracy across systems
- Experience working in the electric utility industry or with infrastructure investment planning
- Experience working collaboratively with cross-function stakeholders such as IT, Engineering, Planning and business teams to gather requirements and deliver tailored data solutions.
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.
- Position will require up to 25% traveling and being out in the field throughout the SCE service territory.
- Relocation does not apply to this position.
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pomona, 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!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.