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# Data Engineer I-SR

- **Company:** Entergy Corporation
- **Location:** Spring, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, JIRA, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Data as a Services, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Design, Decision Support Systems, Job Scheduling, Python (Programming Language), Microsoft SQL Server, Software Maintenance, Power BI, Server Administration, Software Engineering, SQL Databases, Systems Integration, Workflow Management Systems, Data Processing, Google Cloud, Snowflake, Indexer, Data Lakes, Integration Tests, Information Technology, Google Bigquery, Integration Frameworks, Stream Processing, Data Pipelines
- **Published:** November 12, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3514749631&tx=FP7168FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
 * 3+ years of professional experience as a Data Engineer or in a closely related role
 * 3+ years experience in developing ETL pipelines using Apache Airflow, Microsoft SQL Server Integration Services, Python, and familiarity with big data/cloud databases like Google BigQuery and Snowflake.
 * Strong proficiency in Apache Airflow, Python, SQL and PowerBI
 * Solid understanding of relational and SQL databases; specifically, MS SQL Server
 * Experience with cloud platforms (AWS, Azure, GCP) and associated data services
 * Familiarity with data warehouse technologies (Snowflake/Redshift)
 * Strong problem-solving skills and attention to detail
 * Able to create and sustain a safe working environment (identify and mitigate safety hazards)
 * Able to develop and maintain process and technical documentation.
 * Foundational knowledge in change management and continuous improvement frameworks., * At least 4 years in developing and utilizing tools that prepare, extract and manipulate (big) data to create connected datasets (data lake) that can be utilized for analytics purposes
 * Proficiency with data orchestration and workflow tools
 * Experience with Alation, Jira
 * Experience with real-time data processing
 * Familiarity with Entergy Work Practices and Processes
 * Deep expertise to advise on the application of project management principles to ensure systematic, thorough completion of assignments, identifying critical pathways and risks to delivery.
 * Deep expertise leading the development of data/information analyses to assist the business in decision making; provide business insights and data trends through detailed reports.

## Description

We are seeking a skilled Data Engineer to oversee the design, construction and maintenance of data infrastructure and pipelines to further enable data-driven decision-making across the organization. The successful candidate will collaborate with IT, Analytics Teams, and the AI team to collect, process, and optimize data at scale, ensuring reliability, quality, performance and accessibility., * Data Pipeline Development : Design and implement robust, scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources to enable a single source of truth for decision support and process optimization.

 * Data Snapshots: Design and implement data snapshot capturing and management.
 * Database Design & Optimization : Architect queries in data lakes, and relational databases; optimize queries and indexing for performance. Synthesize complex datasets into user-friendly datasets.
 * Data Integration : Build connectors and integration workflows to consolidate data across disparate systems and APIs. Seek to enable usage of dark data and derive increased value from all data.
 * Data Processing: Design and Implement Data processing modules to improve data quality, link disparate data sources and/or otherwise add value to data
 * Application Development: Design, construction and maintenance of applications to enable data correction, manipulation, processing. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
 * Automation: Design, Construction and maintenance of automations, such as condition/routine emails and job scheduling
 * Data Quality & Governance : Establish data quality standards, validation rules, and documentation. Implement best practices in data governance, quality, storage, and manipulation to unlock the full potential of company data. Regularly evaluate data sources and methodologies to ensure utmost data integrity and discover significant patterns or insights. Ensure that data is secure and compliant with all Federal, state, local requirements and Entergy policies.
 * Server Management: Administrate [business] team virtual servers as well as schema within the data lakes
 * Collaboration : Partner with AI Developers, data analysts, scientists, and business stakeholders to understand requirements and deliver solutions. Contribute to the analytics roadmap, transforming data usage for decision support and process optimization.
 * Analysis :Provide actionable insights into operational efficiency, reliability, and other key business performance metrics.
 * Documentation & Testing : Create comprehensive documentation and unit/integration tests for data pipelines and systems through to the end user views