Description

Why You Want This Position 

Enverus is the leading energy SaaS company delivering highly technical insights and predictive/prescriptive analytics that empower customers to make decisions for increased profitability. 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. Would 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.

What You Will Do

Engage and participate in all stages of the Software Development Life Cycle (SDLC) 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 growth

What You Should Have

Bachelor’s degree in computer science or related fieldMinimum 2 years of software development experienceExperience with Python and Spark data transformationsGood understanding of the Structured Query Language (SQL)Experience 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 toolsFamiliarity with Airflow, Prefect, or any orchestration service

Our Tech Stack 

AWS, Terraform, Databricks, Python, Spark, Microsoft SQL, Airflow, GitHub