Data Engineer - 2416
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 that increase profit. 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.
We're seeking a data-driven problem-solver to architect the core of our power and renewables analytics. Design powerful data flows, pipelines, and APIs that turn raw data into actionable intelligence. Your work will directly empower strategic decision-making in the energy sector.
The Team:
Join the Acuity Team, where data meets innovation. We conquer the challenge of harnessing massive datasets for project tracking, land analysis, and price forecasting – the insights shaping tomorrow's energy landscape. Collaborate with top talent and see your contributions come to life.
What you will do:
- Craft robust data transformations and flows with AWS Databricks (Python).
- Architect database and big-data systems, optimizing for insights and performance.
- Design responsive, data-heavy APIs and pipelines that power our decision-making tools.
- Embrace end-to-end ownership, seeing your designs through from concept to impact.
What you should have:
- Bachelor’s degree in computer science or related field.
- Minimum 2 years of experience as a software developer.
- Experience working with Relational DBs, Source Control and CI/CD
- Experience with Python and Spark data transformations
- Excellent communication skills with an advanced English level
- Clean and maintainable code following best practices.
Our Tech Stack: AWS using Terraform, Databricks, Python, Spark, MS SQL