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.
  

Desired Skills and Experience
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.