Join the Clean Energy Revolution

Become a Data Engineering, Advisor - Palantir Foundry & Audit at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be the go-to expert for Palantir Foundry, playing a crucial role in PSPS activations, communications, and monitoring. You'll innovate and design comprehensive solutions, enhance and support existing systems, and collaborate with multi-functional teams to ensure seamless integration and operation. You will use innovative technologies like Palantir, Python, PySpark, and Snowflake to drive impactful data engineering and design solutions.

Focus of role:

• Serve as the Go-To SME: Handle PSPS activations, handle communications, log tickets, and monitor various channels during activations.
• Innovate and Design: Develop design artifacts and comprehensive solutions using Palantir for long-term maintenance and support.
• Enhance and Support: Prioritize and implement solution enhancements, support production issues, and document implemented solutions.
• Collaborate and Plan: Participate in daily scrum meetings, sprint planning, and provide estimates for assigned work.
• Test and Integrate: Support end-to-end testing with SCE systems that interface with Palantir solutions.

• 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.

• 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.

• Five or more years of experience in architecting and designing information, integration, and analytics solutions.
• Three or more years of experience in data engineering, data mining, and handling large-scale data.
• Two or more years of experience developing solutions using Palantir technology.
• Two or more years of experience developing solutions using Python, PySpark, and/or SQL
• Experience with business requirements analysis, data model design, data ingestion pipelines, and AI/ML use cases within Palantir platform.
• Experience with Palantir Foundry: Data integration, code workbooks (Python, PySpark, SQL), ontology development, pipeline management, workflow automation, and collaboration features
• Experience with Palantir Foundry Data Governance and Security, including: Data lineage, access control management, data compliance.
• Experience with Data Analytics and Visualization, including: creating dashboards, reports, and conducting complex data analysis using Palantir Visualization tools
• Experience with Programming, including proficiency with: Python, SQL, and handling big data with tools like Apache Spark.
• Experience in the Electric Utility Industry, including understanding of industry data requirements.
• Experience with Troubleshooting and Optimization, including: problem-solving skills and optimization techniques for data pipelines and workflows.
• Certificates from one or more Palantir Certified Training Programs.

• 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.\u202f Unless otherwise noted, employees are required to work and reside in the state of California.\u202f 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.
• Relocation does not apply to this position.