4 дня назад
Data Engineering, Senior Specialist
129 200 - 193 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering, Senior Specialist (Data Pipelines/ETL): Building and supporting analytical solutions, data integration workflows, reporting data marts, and dashboard systems with an accent on scalable pipeline architecture, data quality, and production reliability. Focus on optimizing large-scale data processing, developing reusable pipeline components, supporting data science models, and troubleshooting enterprise data solutions.
Location: Hybrid role based in Pomona, California; employees are required to work and reside in California. The employee will report to an SCE facility for a set number of days and work remotely on the remaining days.
Salary: $129,200–$193,700 per year
Company
is a clean energy and electric utility company focused on reliable service, innovation, and reducing carbon emissions.
What you will do
- Design, build, and optimize data integration workflows, ETL processes, analytical solutions, reporting data marts, and dashboard systems.
- Develop reusable and parameterized pipeline components and templates for scalable data processing.
- Ingest, preprocess, transform, aggregate, and filter data from multiple sources.
- Collaborate with stakeholders to define pipeline requirements and identify process improvements.
- Troubleshoot production data pipelines and ensure continuity, integrity, testing, change management, and performance.
- Support data scientists, maintain data dictionaries and mappings, and develop Data-as-a-Service solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, or an equivalent STEM field.
- At least five years of experience processing large datasets, including data transformation, aggregation, and filtering.
- Advanced SQL experience; PROC SQL, PL/SQL, or similar query languages are beneficial.
- Experience with Python or R for data manipulation, automation, integration, and analysis.
- Experience designing and maintaining ETL/ELT workflows, data pipelines, data models, data warehouses, and data quality practices.
- Ability to work and reside in California and report to the Pomona facility under the hybrid work arrangement.
Nice to have
- Experience with Power BI, Tableau, SAS Viya, Palantir Foundry, or similar visualization platforms.
- Experience with Snowflake, SAP HANA, Palantir Foundry, Oracle, GCP, or similar enterprise data platforms.
- Experience supporting production data solutions, performance optimization, and automation.
Culture & Benefits
- Work contributes to cleaner energy, reduced carbon emissions, and reliable customer service.
- Hybrid work includes remote days alongside required onsite work at an SCE facility.
- Professional and personal growth opportunities are available.
- Reasonable accommodation is available during the application, interview, and employment process.
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