Be an Early Applicant
Enverus is the leading energy SaaS company delivering highly-technical insights and predictive/prescriptive analytics
The Role
As a Data Engineer at Enverus, you will solve complex data engineering problems, develop production-ready code, and work with various data storage systems while collaborating with a diverse team.
Summary Generated by Built In
Description
Why You Want This Position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Team
Would you like to work in a unique data engineering environment built with modern platforms and data
technologies? As a Data Engineer, you get to implement features and enhancements of various sizes
and complexities, influencing decisions on every step of the development cycle - from prototype to
deployment. Join us on our journey as a member of Enverus' data engineering team working with crew
members based in Canada and the United States.
You would be joining the Data Infrastructure Team, collecting, transforming, and delivering presentation-
ready data to Enverus Prism, our premier energy analytics platform.
Performance Objectives
• Solve challenging data engineering problems to scale and provide solutions to complex business
problems
• Develop reusable, maintainable, efficient, testable, and cost-effective production-ready code
• Review and enforce code quality and standards
• Work with a variety of data storage systems, including but not limited to databases and data lakes
• Utilize & incorporate AI tools in your day-to-day work
• Support and monitor infrastructure, application, database, etc.
• Balance working independently with collaborating in a team
• Learn new technologies as needed to serve business growth
• Brainstorm and prototype new solutions
• Readily share knowledge through collaborative meetings and documentation
Competitive Candidate Profile
• Bachelor's degree in computer science, engineering, or equivalent industry experience
• 2+ years of software development experience
• Experience with Python and Spark
• Good understanding of databases and SQL
• Working knowledge of Docker
• Experience with modern data development tools and libraries
• Knowledge of big data technologies and ETL processes
• Good command of Git or similar source-control tools
• Good understanding of data structures and algorithms
• Good understanding of design patterns and good programming practices
• Familiarity with cloud infrastructure and concepts
Our Technology Stack
AWS / Azure, Terraform, Databricks, Python, Spark / PySpark, GitHub, Kinetica, Clickhouse, Docker
This role is eligible for: Variable Compensation
Why You Want This Position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
The Team
Would you like to work in a unique data engineering environment built with modern platforms and data
technologies? As a Data Engineer, you get to implement features and enhancements of various sizes
and complexities, influencing decisions on every step of the development cycle - from prototype to
deployment. Join us on our journey as a member of Enverus' data engineering team working with crew
members based in Canada and the United States.
You would be joining the Data Infrastructure Team, collecting, transforming, and delivering presentation-
ready data to Enverus Prism, our premier energy analytics platform.
Performance Objectives
• Solve challenging data engineering problems to scale and provide solutions to complex business
problems
• Develop reusable, maintainable, efficient, testable, and cost-effective production-ready code
• Review and enforce code quality and standards
• Work with a variety of data storage systems, including but not limited to databases and data lakes
• Utilize & incorporate AI tools in your day-to-day work
• Support and monitor infrastructure, application, database, etc.
• Balance working independently with collaborating in a team
• Learn new technologies as needed to serve business growth
• Brainstorm and prototype new solutions
• Readily share knowledge through collaborative meetings and documentation
Competitive Candidate Profile
• Bachelor's degree in computer science, engineering, or equivalent industry experience
• 2+ years of software development experience
• Experience with Python and Spark
• Good understanding of databases and SQL
• Working knowledge of Docker
• Experience with modern data development tools and libraries
• Knowledge of big data technologies and ETL processes
• Good command of Git or similar source-control tools
• Good understanding of data structures and algorithms
• Good understanding of design patterns and good programming practices
• Familiarity with cloud infrastructure and concepts
Our Technology Stack
AWS / Azure, Terraform, Databricks, Python, Spark / PySpark, GitHub, Kinetica, Clickhouse, Docker
This role is eligible for: Variable Compensation
Top Skills
AWS
Azure
Clickhouse
Databricks
Docker
Git
Kinetica
Python
Spark
Terraform
What the Team is Saying
Michael
Sr. Account Director
Melwyn
Director of Product
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The Company
What We Do
Enverus’ innovative technologies drive production and investment strategies, enable best practices for energy and commodity trading and risk management, and reduce costs through automated processes across critical business functions. Enverus is a strategic partner to more than 6,000 customers in 50 countries. Enverus is a portfolio company of Hellman & Friedman and Genstar Capital.
Why Work With Us
We are guided by our Core Values: One Team, Partners for Life, Courageous Innovation. Our goal is to foster a culture that’s inclusive, fun and encourages our teammates to grow, personally and professionally. At Enverus, we are a family, and our people will always be our most important asset.
Gallery
Enverus Offices
Remote Workspace
Employees work remotely.
Typical time on-site:
None
