Data Software Engineer
Location: Houston, Texas (Hybrid)

Company Overview:
Our client, is a leader in energy space, and they're backed by a world renowned investment firm

Position Summary:

Key Responsibilities:

• Data Pipelines: Design and implement data pipelines for ML and AI models using Azure and Databricks.
• DataOps/MLOps: Manage routine operations.
• Domain Expertise: Apply mathematical and statistical knowledge to assess data quality and model insights.
• Trading Tools: Maintain real-time trading tools for decision-making.
• Technical Translation: Simplify complex concepts for non-technical stakeholders.
• Innovation: Research trends in data engineering, AI, and energy storage.
• Collaboration: Work with engineering, finance, and operations teams.

Requirements:

• Master's in Mathematics, Statistics, Computer Science, or related field.
• 5+ years in data engineering, ML, and Excel-based workflows with Visual Basic.
• Proficiency in Python, PySpark, and Visual Basic.
• Experience with cloud platforms (Azure, Databricks) and big data technologies (Hadoop, Spark).
• Knowledge of optimization techniques in energy storage.