Job Summary:
NRG is a company focused on creating a smarter, cleaner, and more connected future in energy and home services. The Data Engineer role involves building and maintaining data pipelines and platforms for analytics and data science initiatives, ensuring reliable data ingestion and transformation to enhance customer experience and operational efficiency.
Responsibilities:
• Collaborate with cross-functional teams to integrate and deploy data engineer technologies
• Develop and maintain data pipelines for ingesting and processing data from various sources such as APIs, S3, Google Cloud Storage and flat files.
• Build and manage ETL/ELT workflows using Databricks, Spark, Python and SQL.
• Design and maintain data models and tables for analytics and reporting.
• Troubleshoot data inconsistencies, missing records, and pipeline failures.
• Work with business teams to understand data requirements and deliver data solutions.
• Support data science and AI initiatives by preparing and organizing datasets.
• Monitor and optimize data pipeline performance and reliability.
• Maintain documentation for data processes, tables, and pipelines.
• Assist with data migration, integration, and platform improvements.
• Work with vendor solutions for data extractions through API or AWS S3 Workflow.
Qualifications:
Required:
• Strong experience (10+ years) with SQL, Spark SQL and Spark Python
• Experience (2+ years) with Databricks or Apache Spark
• Experience (3+ years) with Power BI
• Strong experience working with cloud storage systems (Azure, AWS S3, Google Cloud Storage)
• Experience with Git-based version control, including pull requests, code reviews, and branch management in Azure DevOps
• Solid knowledge (3+ years) of Python for data processing
• Experience building and troubleshooting ETL pipelines
• Familiarity with data warehouse concepts and data modeling
• Ability to debug data quality issues and reporting discrepancies
• Self-driven, proactive problem solving skills
• Bachelor’s in Computer Science, Data Analytics, Mathematics, Data Science, or related field; or equivalent experience.
• 3+ years of experience in contact center operations, continuous improvement, business analysis, or technology support.
• Experience with one or more CRM and contact center platforms such as SAP, Salesforce, Genesys, NICE, or Five9.
Preferred:
• Solid understanding Call center KPIs
• Demonstrable strength in analytical and problem-solving skills.
• Understand real-time agent assist, virtual agents, chatbots, sentiment analysis, and intelligent routing into existing CRM and telephony systems to streamline workflows.
• Excellent communication and stakeholder management skills.
• 3+ years experience with AWS or Google Cloud
• 5+ years experience supporting data science / AI teams
• Knowledge of Airflow or other workflow orchestration tools
• Experience with large-scale data processing, LLM, API integration
• Understanding of natural language processing (NLP) and Machine learning, Modeling, RAG, Agentic AI
• Experience with Claude Code for workflow optimization
Company:
Direct Energy Business is part of a leading energy and energy-related services provider that is focused on helping customers make their businesses better. Founded in , the company is headquartered in Pittsburgh, PA, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
