The primary mission of the Data Engineer role is to help our business evolve into an AI-first, insights-driven organization. The position sits in our Enterprise Data and Analytics team, which aims to drive improved business outcomes using insights gleaned from data and analytics and infuse them into Lennar's corporate fabric. The Data Engineer will help design and implement our next generation data and analytics platforms and products using DataOps and engineering best practices and will focus on empowering and enabling our business users through self-service and automation. The Data Engineer will be key to operationalizing Lennar's enterprise data fabric.

• Design, build, and operationalize data engineering solutions for Lennar's data and analytics platforms and products
• Implement CI/CD and other automation techniques to streamline data ingestion and delivery processes
• Develop self-service data and analytics capabilities to empower business users to navigate our data ecosystem
• Instrument platforms with robust metrics and monitoring
• Improve data flow architecture, emphasizing data quality, maintainability, and extensibility
• Support process improvement on the team to enable rapid development of data products
• Implement software engineering and DataOps standards and best practices for data analytics team, including code modularization, versioning, testing, automation/CICD workflows, code reviews
• Develop data analytics tooling to support analysis workflows
• Work with data/information architects to drive enterprise taxonomy and ontology development to connect disparate data across enterprise and enable 360 insights
• Gain an understanding of core business processes and align data development with business strategy
• Wrangle and integrate data from disparate systems to allow data analysts and data scientists leverage to end-to-end data and information

• Thirst to help transform Lennar into an insights-driven organization
• Demonstrated experience delivering data ingestion, modeling, and consumption capabilities in an enterprise environment
• Expertise in SQL and RDBMS; Experience working with NoSQL database systems
• Strong understanding of Enterprise ELT/ETL tools, Data Engineering Technology stacks and solutions.
• Proficiency in data wrangling and integration
• Good understanding of data analytics architectural approaches and data models (Data Vault experience is a plus)
• Demonstrated experience in all aspects of development including, but not limited to, gathering requirements, development of technical components related to process scope and supporting testing and post implementation support.
• Ability to work and partner with users and stakeholders to gather solution requirements.
• Experience working with business users to understand how to optimally deliver insights within their operational workflows and decision-making processes
• Ability and willingness to quickly learn new technologies
• Strong adherence to core software engineering principles (code modularization, versioning, git, testing, Agile etc.)
• Ability and willingness to learn about the business, its strategy, objectives, and core business processes
• 5+ years as a data engineer
• Experience with Snowflake is a plus
• Experience with database replication tools is a plus

This is primarily a sedentary office position which requires he position to have the ability to operate computer equipment. Finger dexterity is necessary. Travel up to 10% of the time to divisions within the Lennar family.

Additional Requirements:

• Interact well with co-workers.
• May be required to cross train for position(s) within the team organizational structure from time to time, as required by the Leadership team.
• Comply with and implement company policies and procedures.
• Accept constructive criticism.
• Strong work ethic.
• Team player.

This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.

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