Data Engineer, Senior

Entergy Corporation is seeking a Senior Data Engineer to join the data platform team in a hybrid role based in New Orleans, LA. In this position, you will partner closely with the solution architect to design and deliver end-to-end data processing solutions, helping ensure enterprise stakeholders receive data that is reliable and secure.

What you’ll do

• Design systems and data models that accommodate structured, semi-structured, and unstructured data, including stream processing.
• Identify and address governance and security challenges related to data solutions.
• Analyze available data sources and evaluate feasible approaches for building data pipelines.
• Support database-related work such as database modeling and design, relational database architecture, and metadata and repository creation and configuration management.
• Design and develop data pipelines and ETL processes.
• Adhere to and help develop data management policies, standards, and procedures.
• Create integrated data views that pull together information across the enterprise, in real time and via extracts.
• Package deployments and collaborate with IT to move code between Development, QA, and Production environments.
• 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 data analytics platform team members on plans and strategies for adopting new tools, technologies, and alternative solution architectures, including cloud approaches.

Required qualifications

• Bachelor’s or Master’s degree in a data-centric field (for example: Computer Science, Mathematics, Information Systems, Information Processing, Engineering, etc.).
• 6+ years of experience as a data engineer using standard data management principles.
• Experience with AWS GovCloud (the isolated AWS environment serving U.S. federal agencies and housing export controlled data).
• Experience with the AWS Commercial cloud.
• ETL experience.
• Experience with cloud-based computing such as AWS or Azure.
• Experience with big data technologies.
• Exposure to data warehousing, data mining, analysis, self-service, or machine learning.
• Data governance experience.
• Experience working with structured and unstructured data.
• Working knowledge of SQL and NoSQL database technologies.
• Data modeling experience.
• Hands-on experience with Python, SQL, and Spark, plus Airflow.
• Ability to work with conceptual and practical expertise in your discipline, along with basic knowledge of related disciplines.
• Strong technical communication, including writing and presentation skills.
• Demonstrated ability to act as a resource for less experienced colleagues and to lead small projects with manageable scope and risk.
• Capacity to solve complex problems, evaluate multiple sources of information, and exercise judgment.
• Ability to explain difficult or sensitive information and help build consensus.
• Proficiency in a Windows environment (Word, Excel, Access, PowerPoint).
• Authorization to work in the United States is required. Entergy does not sponsor work visas for this position.

Technology focus

• AWS GovCloud, AWS Commercial cloud, AWS, Azure
• ETL, stream processing
• Relational and non-relational databases
• SQL, NoSQL
• Python, Spark
• Airflow
• Windows (Word, Excel, Access, PowerPoint)
• Metadata and repository

Additional details

• Location: New Orleans, LA (Hybrid)
• Openings: 1
• Travel: Up to 25%
• FLSA status: Professional
• Union status: NON BARGAINING UNIT
• Req ID: 125299
• Working conditions: As an essential services provider, availability may be required for additional hours, alternate locations, and additional duties tied to storms, outages, emergencies, or other company needs. Exempt employees are not paid overtime for these duties.

Entergy provides reasonable accommodations for online applicants. This role is listed under Entergy Services, LLC, with a primary location in Louisiana-New Orleans (and Texas-Woodlands).