Data Engineer II

Posted Yesterday
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Hiring Remotely in Guadalajara, Jalisco, MEX
Remote
Mid level
Software • Cybersecurity • Renewable Energy
The Role
Design, build, and optimize ETL pipelines and data architecture for renewable-asset systems. Collaborate with data science teams, validate data quality, unify microservice-based systems, and support data warehousing and lakehouse implementations in cloud environments.
Summary Generated by Built In

About Radian Generation

Radian Generation is a global provider of critical technology-forward services designed specifically to support the comprehensive lifecycle of renewable facilities—including solar, wind, and energy storage.

Who We Serve
Radian Generation’s wide range of commercial, technical, and compliance services provide developers, owners, and operators with critical insights into each aspect of their assets to make better-informed decisions.


Radian Generation is committed to supporting greater diversity in the renewable energy industry. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

​​Role and Responsibilities 

  • Guide and front the design and development of ETL pipelines and processes 
  • Collaborate with a team of data science and analytics professionals to understand how best to prepare data for further use 
  • Build, maintain, and optimize existing data architecture and infrastructure 
  • Enhance data quality and integrity through pressure testing and validation 
  • Spearhead the development and unification of multiple systems in a microservice centric architecture 

Required Qualification & Education 

  • University Degree in Computer Science, Data Science, Mathematics or a related field and 4+ years of applicable experience 
  • Certification in one or more data management technologies or methodologies 

Required Skills & Competencies 

  • Expertise with both SQL and noSQL database solutions 
  • Experience working with both structured and unstructured data 
  • Knowledge of programming languages such as Python or Ruby 
  • Understanding of data warehousing concepts and tools in AWS or Azure 
  • Understanding of a data lakehouse architecture, design, and implementation 
  • Strong problem solving skills and a passion for high quality data management 

 

Required Software Knowledge 

  • 2+ yrs of SQL experience 
  • 4+ years of programming experience using either Ruby, Python, or another scripting language 
  • Experience working within expansive AWS systems involving multiple groups of microservices 

Preferred Experience 

  • Masters Degree in Computer Science, Data Science, Mathematics or a related field and 2+ years of applicable experience  
  • Experience unifying systems with similar but distinct approaches to data management is a plus 

Preferred Skills & Competencies 

  • Understanding of cloud computing and data management technologies in AWS (Sagemaker, Lambda, RDS, Redshift) 
  • Prior history working under Agile software development methods and tooling, such as Jira ticketing, Kanban process, etc. 
  • Exposure to data visualization or business intelligence tools is a plus (DOMO, Tableau, PowerBI) 
  • Experience working with version control systems such as GIT 

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Mathematics or related field
  • 4+ years of applicable experience
  • Certification in one or more data management technologies or methodologies
  • Expertise with SQL and noSQL database solutions
  • Experience working with structured and unstructured data
  • Knowledge of programming languages such as Python or Ruby
  • 2+ years of SQL experience
  • 4+ years of programming experience using Ruby, Python, or another scripting language
  • Experience working within expansive AWS systems involving multiple microservices
  • Understanding of data warehousing concepts and tools in AWS or Azure
  • Understanding of a data lakehouse architecture, design, and implementation
  • Strong problem solving skills and passion for high quality data management
  • Master's Degree in Computer Science, Data Science, Mathematics or related field
  • Experience unifying systems with similar but distinct approaches to data management
  • Understanding of AWS services: SageMaker, Lambda, RDS, Redshift
  • Prior history working under Agile methods and tooling (Jira, Kanban)
  • Exposure to data visualization or BI tools (DOMO, Tableau, PowerBI)
  • Experience working with version control systems such as GIT
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The Company
HQ: Oakland, CA
108 Employees
Year Founded: 2013

What We Do

Who We Are We are a global provider of comprehensive services & products designed specifically to support the complete lifecycle of renewable facilities. With expertise spanning all renewable energy technologies, we partner with our clients to deliver the outcomes necessary for sustainable growth. Our team is dedicated to empowering energy transformation and making a positive impact on the environment. What We Offer A team of industry experts and state-of-the-art digital platform. This powerful combination of people plus technology creates unparalleled and comprehensive solutions for the renewable energy industry. How We Stand Out Our commitment to care. We understand that managing renewable energy assets can be a challenging task, which is why our experts are with you every step of the way. Get to Know Us We pride ourselves on our culture of inclusivity and integrity. We recognize the humanity of our workforce and customers, and we believe in cultivating trust through transparent communication and collaboration. We were founded in 2013 on the core principle of driving sustainable growth in the renewable energy industry and are fully committed to the global clean energy transition.

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