Data Engineering Advisor - Southern California Edison
Rosemead, CA
About the Job
Join the Clean Energy Revolution
Become a Data Engineering Advisor in the Grid Automation Services organization at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be working with cutting edge technology, from AI Engineering to Kubernetes infrastructure, in support of automation efforts driving affordability and enabling the Utility of the Future. 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?
You are a self-starter, capable of recognizing inefficiencies and recommending improvements. You have engineered creative solution to business problems or manual processes to create operational efficiencies. You demonstrate that you can identify problems to work on independently and provide justification through data metrics. Overall, you are a strong partner to the business, understanding and prioritizing work based on the insight it can provide to impact SCE positively and directly in a fast paced yet sometimes ambiguous environment all while having the ability to triage contending needs under tight timeframes.
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
+ Keep abreast of new and current data engineering, big data and data science techniques. Research methods, techniques, and new practices; develop and promote data engineering best practices, standards and guidelines
+ Works closely with subject matter experts to design and develop front end applications with data model 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, drive action, and support work throughout the business
+ Identify and design 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
+ Master's degree or Ph.D. in a quantitative field such as Computer Science, Engineering, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, or related field
+ Familiar with containerization and orchestration, including Podman, Docker, Kubernetes and Helm Charts, deployment and management of containerized applications
+ Strong backend development skills with Python. Knowledge of API concepts, specifically FastAPI framework and Swagger API documentation
+ Knowledge of front-end development frameworks such as React and NodeJS
+ AI Engineering experience with LLMs, GenAI, RAG pipelines, NVIDIA NIMs, vector databases
+ Devops and CI/CD proficiencies including tooling such as Git and Jenkins
+ Knowledge of unit, integration testing, regression testing, and performance testing methodologies.
+ Familiarity with Apache open source data engineering tools such as Airflow, Nifi, Spark, and Kafka
+ Proficiency in working across Linux, Windows, and macOS environments.
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 (https://www.edisoncareers.com/page/show/candidate-resources) 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.
+ 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.
+ This position has an option for a 9/80 Alternate Work Schedule or 40hrs/5 days a week.
+ 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.
At SCE, we celebrate our differences. We are a proud Equal Opportunity Employer and will not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected 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 (833) 343-0727.
Become a Data Engineering Advisor in the Grid Automation Services organization at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be working with cutting edge technology, from AI Engineering to Kubernetes infrastructure, in support of automation efforts driving affordability and enabling the Utility of the Future. 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?
You are a self-starter, capable of recognizing inefficiencies and recommending improvements. You have engineered creative solution to business problems or manual processes to create operational efficiencies. You demonstrate that you can identify problems to work on independently and provide justification through data metrics. Overall, you are a strong partner to the business, understanding and prioritizing work based on the insight it can provide to impact SCE positively and directly in a fast paced yet sometimes ambiguous environment all while having the ability to triage contending needs under tight timeframes.
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
+ Keep abreast of new and current data engineering, big data and data science techniques. Research methods, techniques, and new practices; develop and promote data engineering best practices, standards and guidelines
+ Works closely with subject matter experts to design and develop front end applications with data model 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, drive action, and support work throughout the business
+ Identify and design 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
+ Master's degree or Ph.D. in a quantitative field such as Computer Science, Engineering, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, or related field
+ Familiar with containerization and orchestration, including Podman, Docker, Kubernetes and Helm Charts, deployment and management of containerized applications
+ Strong backend development skills with Python. Knowledge of API concepts, specifically FastAPI framework and Swagger API documentation
+ Knowledge of front-end development frameworks such as React and NodeJS
+ AI Engineering experience with LLMs, GenAI, RAG pipelines, NVIDIA NIMs, vector databases
+ Devops and CI/CD proficiencies including tooling such as Git and Jenkins
+ Knowledge of unit, integration testing, regression testing, and performance testing methodologies.
+ Familiarity with Apache open source data engineering tools such as Airflow, Nifi, Spark, and Kafka
+ Proficiency in working across Linux, Windows, and macOS environments.
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 (https://www.edisoncareers.com/page/show/candidate-resources) 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.
+ 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.
+ This position has an option for a 9/80 Alternate Work Schedule or 40hrs/5 days a week.
+ 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.
At SCE, we celebrate our differences. We are a proud Equal Opportunity Employer and will not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected 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 (833) 343-0727.
Source : Southern California Edison