Data Engineering, Advisor

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 be responsible for developing data integration pipelines (ETL) sourcing from various databases and systems. The 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 the company. The candidate is therefore expected to work on 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 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?

• 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.

• 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.

• Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms.
• Familiarity 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, Snow Pro 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.

• 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…