Southern California Edison (SCE) is looking to build a better tomorrow by creating and supporting analytical data marts, developing data integration pipelines, and analyzing large datasets to power the planet, reduce carbon emissions, and create cleaner air for everyone.
Requirements
- Experience with coding languages (i.e. Python, SQL, PROC SQL, R)
- Experience with low code environments (i.e., Palantir Foundry)
- Experience with cloud OLAP systems (e.g., Snowflake)
- Experience with data architecture, data engineering solutions, and best practices for analyzing very large datasets
- Additional certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.
- 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, SAP, Oracle or similar platforms
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
- 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
- Develops and maintains data warehouse schema and data models, ensuring data consistency and accuracy
Other
- 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
- Must work and reside in the state of California
- Hybrid work mode with option to work remotely on certain days
- Relocation does not apply to this position
