Data Engineer - 24262
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 deployment
- Integrate backend data storage including relational database, key-value storage, and document/blob stores
- Provide solutions to complex business problems beyond simple CRUD operations
- Develop reusable, maintainable, efficient, and cost-effective production ready code
- Review and enforce code quality and standards
- Write unit, integration, and end-to-end tests
- Support and monitor infrastructure, application, database, etc.
- Balance working independently with collaborating in a team
- Learn new technologies as needed to serve business growth
What You Should Have
- Bachelor’s degree in computer science or related field
- Minimum 2 years of software development experience
- Experience with Python and Spark data transformations
- Good 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 processes
- Good command of Git or similar source-control tools
- Familiarity with Airflow, Prefect, or any orchestration service
Our Tech Stack
AWS, Terraform, Databricks, Python, Spark, Microsoft SQL, Airflow, GitHub