Support client-facing projects that accelerate the transition to a smarter, cleaner electric grid by implementing high-impact solutions in distributed energy resources (DER), electric vehicle (EV) integration, and load flexibility.
Requirements
- Proficiency in Python and SQL
- Experience using Databricks, Power BI, or similar tools for data modeling and visualization
- Experience with large scale data analytics frameworks such as Apache Spark
- Experience working with Azure Databricks
- Proficiency in working with tools such as Docker and Kubernetes
- Proficiency with cloud networking (DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN, and VPC), storage, security, and compute
- Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
Responsibilities
- Data Engineering: Ingest, clean, and transform large datasets using Python, SQL, and Databricks
- Data Science & Analytics: Conduct exploratory analysis, build analytical models, and generate actionable insights
- Data Visualization: Develop clear, compelling dashboards and reports in Power BI and Microsoft Fabric
- Attend regular client meetings and collaborate with project managers to understand goals, manage timelines, and incorporate feedback
- Translate client requirements into well-structured analytics tasks and deliverables
- Write clean, maintainable, and well-documented code while optimizing workflows for performance and scalability
- Manage and prioritize a diverse set of technical assignments across multiple projects
Other
- Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
- 2+ years of professional or academic experience working with data pipelines, analysis, or dashboards
- Must be able to pass a background check and drug screening.
- Excellent communication and organizational skills to support client meetings and deliverables
- Effective time management and ability to adapt to changing priorities
