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 TeamWould you like to work on a unique data engineering environment built with modern platform 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 the United States, Canada, and Ukraine. You would be joining the Wells+ESG Data Engineering Team collecting, transforming, and delivering presentation-ready data to Enverus Prism, our premier energy analytics platform. 
Performance Objectives Engage and participate in all stages of the Software Development Life Cycle from research, planning, design, development, testing, all the way to deploymentIntegrate backend data storage including relational database, key-value storage, and document/blob storesProvide solutions to complex business problems beyond simple CRUD operationsDevelop reusable, maintainable, efficient, and cost-effective production ready codeReview and enforce code quality and standardsWrite unit, integration, and end-to-end testsSupport and monitor infrastructure, application, database, etc.Balance working independently with collaborating in a teamLearn new technologies as needed to serve business growthBrainstorm and prototype new solutionsReadily share knowledge through documentationCompetitive Candidate ProfileBachelor’s degree in computer science or related fieldMinimum 2 years of software development experienceExcellent communication skills with an advanced English levelExperience with Python and Spark data transformationsGood understanding of the Structured Query Language (SQL)Experience with modern data development tools and librariesExperience with modern CI/CD workflows and Infrastructure as Code (IaC)Knowledge of big data technologies and ETL processesGood command of Git or similar source-control toolsGood understanding of data structures and algorithmsGood understanding of design patterns and good programming practicesFamiliarity with Agile methodologiesFamiliarity with Airflow, Prefect, or any orchestration serviceFamiliarity with cloud infrastructure and conceptsOur Tech StackAWS, Databricks, Python, Microsoft SQL, GitHub, Terraform, Azure Data Lake