Data Engineer

NRG • Houston, TX

45d

About The Position

The Data Engineer is responsible for building, maintaining, and supporting data pipelines and data platforms used for analytics, reporting, and data science initiatives within contact center operations. This role works closely with the Customer Care Analytics team to ensure reliable data ingestion, transformation, and availability across multiple systems and environments. The role ensures that data insights solutions which will enhance customer experience, boost agent productivity, and improve operational efficiency.

Requirements

• 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.

Nice To Haves

• 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

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
• Evaluate emerging Data engineering technologies and recommend solutions aligned with business goals.
• Assist pilot programs and proof-of-concept initiatives to test new data capabilities.
• Ensure Data solutions comply with data privacy, security, and ethical standards by partnering with NRG’s Data & AI team.
• Maintain detailed documentation of workflows, changes, and performance metrics. Provide regular reports to stakeholders.

Benefits

• Join a forward-thinking team that’s redefining customer experience through Data innovation.
• Play a key role in transforming how customers interact with our contact center—making every conversation smarter, faster, and more impactful.
• Work with cutting-edge AI technologies in a company committed to ethical AI and a culture of continuous innovation.
• Enjoy a collaborative culture with opportunities for growth, learning and career development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior