Data Engineer Jobs in Spring, TX (NOW HIRING)

Position Summary:

The Data Engineeris responsible forbuilding,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.

Key Responsibilities:

AI Solution Implementation & Support

• Collaborate with cross-functional teams to integrate and deploy data engineer technologies

• Develop andmaintaindata pipelines for ingesting and processing data from various sources such as APIs, S3, Google CloudStorageand flat files.

• Build and manage ETL/ELT workflows using Databricks, Spark, Python and SQL.

• Design andmaintaindata 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 andoptimizedata pipeline performance and reliability.

• Maintain documentation for data processes, tables, and pipelines.

• Assistwith data migration, integration, and platform improvements.

• Work with vendor solutions for data extractions through API or AWS S3Workflow

Required Skills

• Strong experience (10+ years) with SQL, SparkSQLand 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, proactiveproblem solvingskills

Preferred Skills

• Solid understanding Call center KPIs

• Demonstrable strength in analytical and problem-solving skills.

• Understand real-time agentassist, 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 experiencewith AWS or Google Cloud

• 5+years experiencesupporting 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

Continuous Improvement

• Evaluate emerging Data engineering technologies and recommend solutions aligned with business goals.

• Assistpilot programs and proof-of-concept initiatives to test new data capabilities.

Governance & Compliance

• Ensure Data solutionscomply withdata 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.

Minimum Qualifications:

• 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.

Why Join Us?

• Join a forward-thinking teamthat'sredefining 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 withcutting-edgeAI technologies in a company committed to ethical AI and a culture of continuous innovation.

• Enjoy a collaborative culture with opportunities for growth,learningand career development.