5 дней назад
Data Engineering, Senior Advisor (Python/SQL)
182 800 - 274 100$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Engineering, Senior Advisor (Python/SQL): Building and scaling data integration pipelines, data lakes, warehouse schemas, and analytical applications for energy operations with an accent on data architecture, governance, and processing very large datasets. Focus on optimizing streaming and cloud workloads, designing enterprise data platforms, and supporting machine learning models with reliable data.
Location: Pomona, California, US; hybrid work mode with required residence in California. The role requires reporting to an SCE facility for a set number of days, includes remote work on remaining days, and involves up to 25% travel in the SCE service territory.
Salary: $182,800–$274,100 annually.
Company
provides electric utility services and develops clean-energy solutions for customers across Southern California.
What you will do
- Design, build, manage, and scale ETL and data integration pipelines from internal and external sources.
- Develop data architecture, enterprise data lakes, warehouse schemas, data models, and transactional orchestration strategies.
- Process and analyze large, complex, and rapidly changing datasets using Palantir Foundry, Snowflake, SAP Datasphere, and related technologies.
- Improve streaming-data performance and optimize cluster runtime and cloud costs.
- Implement metadata management, data dictionaries, data mapping, validation, naming standards, and data governance practices.
- Build data-driven applications, visualizations, and Data-as-a-Service solutions while supporting data scientists with large-scale datasets for predictive and machine learning models.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, or an equivalent STEM field.
- 10 or more years of experience processing large datasets, including hands-on data transformation, aggregation, and filtering.
- Experience with Python, SQL, APIs, and ETL pipelines; experience with Apache Airflow, Azure Data Factory, or similar platforms is preferred.
- Strong knowledge of cloud-based data storage and architecture, including platforms such as Palantir Foundry, Snowflake, or AWS.
- Ability to implement data validation and metadata management and maintain consistency and accuracy across systems.
- Must work and reside in California unless otherwise noted; hybrid facility attendance and up to 25% field travel are required.
Nice to have
- Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, or similar certification.
- Experience in the electric utility industry or infrastructure investment planning.
- Experience collaborating with IT, engineering, planning, data science, and business stakeholders.
Culture & Benefits
- Work supporting clean energy, grid reliability, and carbon-emission reduction.
- Hybrid work arrangement with remote work available on non-facility days.
- Opportunities for personal and professional growth.
- Work includes protecting sensitive customer, proprietary, medical, financial, and cybersecurity information.
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