Software Engineer - 2618

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:
The Enverus Data Science team builds advanced data-driven products that drive value across the energy value chain. We combine AI, machine learning, statistical methods, advanced algorithms, and deep domain expertise to tackle complex industry challenges. Our models are deployed on a robust internal data science platform, enabling scalable solutions.
Performance Objectives

• Develop robust Python applications leveraging NumPy and pandas for data analysis and transformation.
• Write and maintain Docker configurations to containerize applications and support CI/CD pipelines.
  Integrate with S3, Azure Data Lake, and Databricks Unity Catalog for efficient data ingestion and retrieval.
• Collaborate with data scientists to integrate machine learning models into production environments.
• Follow and contribute to coding standards, architecture guidelines, and best practices.
• Maintain SOC2 compliant SDLC practices and workflow using Git and Jira.
• T roubleshoot and resolve performance issues, ensuring code quality and maintainability.
• Participate in code reviews and share knowledge with team members.

Competitive Candidate Profile

• 2-4 years of software development experience, preferably in Python.
• Proficiency in Python; familiarity with other languages (e.g., C++, JavaScript) is a plus.
• Solid understanding of NumPy, pandas, and their performance considerations.
• Familiarity with statistics, mathematics, or machine learning principles.
• Experience creating and managing Docker images; familiarity with CI/CD tools.
• Familiarity with Microsoft Azure (especially Blob Storage); experience with AWS or GCP is a plus.
• Experience in version control (Git), continuous integration, and automated testing frameworks.
• Experience supporting the deployment and maintenance of AI/ML models in production, working alongside data scientists.
• Solid analytical skills with the ability to break down business rules into clear, maintainable code.
• Good communication skills with an ability to collaborate effectively across teams.

Our Technology Stack
Python, C++, AWS, Azure, Git, Docker, AI/ML, NumPy, JavaScript
This role is eligible for: Variable Compensation