Data Engineer
Nrg Bluewater Wind
- Houston, Texas, United States
- Houston, Texas, United States
À propos
Key Responsibilities AI Solution Implementation & Support
Collaborate with cross‑functional teams to integrate and deploy data engineering 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
Required Skills
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
Preferred Skills
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
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
Governance & Compliance 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, and 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 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
NRG Energy is committed to a drug and alcohol‑free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post‑accident and reasonable suspicion drug and alcohol testing.
EEO AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant’s experience or skills.
EEO is the Law Poster (The poster can be found at
http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf )
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Compétences linguistiques
- English
Avis aux utilisateurs
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