Data Engineer, Senior
Senior
Apache Airflow
Azure
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Platform
Data Processing
Database
Databases
ETL
Informatica
Information Technology (IT)
Programming Languages
Software Development
SQL
Stream Processing
Workflow Orchestration
Job Description
Entergy Corporation is seeking a Senior Data Engineer to join its data platform team in New Orleans, Louisiana (hybrid). In this role, you will partner with a solution architect to design and deliver end-to-end data processing solutions that support internal stakeholders with reliable and secure data.
What you will do
- Design systems and data models that can handle structured, semi-structured, and unstructured data, including stream processing.
- Evaluate data sources and propose feasible data pipeline and ETL approaches.
- Design, develop, and deploy data pipelines and/or ETL processes across environments.
- Implement and test enterprise-wide data architectures, ensuring appropriate governance and security.
- Create and configure metadata and repositories, including related configuration management tasks.
- Build integrated views of enterprise data from across the organization in both real-time and extract forms.
- Package deployments and collaborate with IT to migrate code between Development, Quality Assurance (QA), and Production.
- Support test automation, troubleshoot ETL job functionality, validate data, and create test data and table structures using SQL.
- Work effectively in an agile, rapid delivery environment.
- Collaborate with other members of the data analytics platform team to plan and execute strategies for adopting new tools, technologies, and alternative solution architectures, including leveraging the cloud.
- Serve as a resource for colleagues with less experience and may lead small projects with manageable scope and risk.
Requirements
- 6+ years of experience as a data engineer using standard data management principles.
- A Bachelor’s or Master’s degree in a data-centric field (examples include Computer Science, Mathematics, Information Systems, Information Processing, Engineering, etc.).
- Experience on AWS GovCloud (isolated AWS environment serving U.S. federal agencies and housing export controlled data).
- Experience on the AWS Commercial cloud.
- ETL experience.
- Cloud-based computing experience such as AWS or Azure.
- Experience with big data technologies and data warehousing (including mining, analysis, self-service, or machine learning).
- Data governance experience.
- Experience with both structured and unstructured data.
- Working knowledge of SQL and NoSQL database technologies.
- Data modeling experience.
- Hands-on use of Python, SQL, and Spark.
- Airflow experience.
- Strong technical communication, including writing and presentation skills.
- Authorization to work in the United States is required; Entergy does not sponsor work visas for this position.
- Proficiency in a PC Windows environment (Word, Excel, Access, PowerPoint).
Travel and working expectations
- Travel: up to 25%.
- As an essential services provider, Entergy expects employees may need to work additional hours, work alternate locations, and/or perform additional duties in connection with storms, outages, emergencies, or other situations as deemed necessary.
- Exempt employees may not be paid overtime associated with these duties.
Tech stack and focus areas
- AWS GovCloud, AWS Commercial cloud, AWS, Azure
- ETL, stream processing, relational and non-relational databases
- SQL, NoSQL, Python, Spark, Airflow
- metadata and repository work
- Windows (Word, Excel, Access, PowerPoint)
Employment details: Professional FLSA status, non-bargaining unit, 1 opening. Legal entity: Entergy Services, LLC. Working location includes Louisiana-New Orleans (hybrid) with a primary location listing that also references Texas (Woodlands). Accessibility accommodations are available for online applicants.