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4 дня назад

Data Engineering, Senior Specialist

129 200 - 193 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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