Sr. Data Engineer; PySpark, Azure Data Factory

Job Description

As an Data Engineer at Calpine Inc., you will contribute to the BI development to optimize energy operations, enhance forecasting, and improve operational efficiency. This role is ideal for professionals with 10+ years of experience who are passionate about comprehensive data and BI solutions development and solving real‑world energy sector challenges using PySpark and Azure Data Factory.

• Engage with business users to gather requirements and translate them into comprehensive data and BI solutions.
• Design and implement scalable data pipelines using Py Spark and Azure Data Factory
  , integrating with Azure Data Lake
  , Synapse Analytics
  , Data Bricks
  , and Microsoft Fabric
  .
• Develop and optimize data models and visualizations using Power BI
  , ensuring performance and usability across business units.
• Lead modernization efforts by migrating legacy BI systems to cloud‑based platforms.
• Collaborate with cross‑functional teams to ensure alignment with architectural standards and business objectives.
• Oversee system testing, user acceptance testing (UAT), and production deployments.
• Maintain and enhance existing BI solutions, ensuring reliability and scalability.
• Document data flows, transformation logic, and architectural decisions.
• Communicate effectively with stakeholders regarding upcoming changes and coordinate change management activities.

• Minimum 10 years of experience in data engineering and BI development.
• Proven expertise in Py Spark for data transformation and pipeline development.
• Extensive experience with Azure Data Services
  , including Data Factory
  , Data Lake
  , Synapse
  , Microsoft Fabric and Data Bricks
  .
• Strong proficiency in Power BI dashboard development and data modeling.
• Solid understanding of cloud architecture, data governance, and performance optimization.
• Advanced SQL skills with a focus on query performance and scalability.
• Experience with dimensional modeling (Star and Snowflake schemas).
• Excellent communication and collaboration skills in cross‑functional environments.
• Ability to manage multiple priorities in a dynamic and fast‑paced setting.
• Familiarity with SSIS
  , SSRS
  , and SSAS (tabular and multi‑dimensional models).
• Experience with DAX and MDX query languages.
• Exposure to Power Apps
  , Data Flows
  .
• Knowledge of machine learning (ML) and artificial intelligence (AI) concepts and their application in data analytics.
• Have worked with Azure ML Services, and understand OpenAI LLM Model.
• Experience implementing role‑based and row‑level security in BI platforms.

• Medical, vision and dental
• Prescription drug coverage
• Calpine’s Retirement Savings Plan (401(K)) matching
• Paid time off and paid parental leave
• Comprehensive health programs, including our Wellness Program, telemedicine, Employee Assistance Program, Health Care and Dependents Care Flexible Spending Accounts (FSAs) and more
• Life insurance
• Education reimbursement program
• Adoption assistance
• Scholarship and vocational grant programs
• Training and education opportunities
• Bonus eligible