Data Engineer

Lennar is building a proactive talent community for Data Engineers interested in future roles within Enterprise Data and Analytics. Based on background and experience, contributors may design and operationalize scalable data engineering solutions, pipelines, and data platforms using modern cloud technologies.

Role Focus

• Design, build, and operationalize scalable data engineering solutions for Lennar data platforms and products.
• Develop ETL and ELT pipelines that combine data from diverse sources.
• Create data ingestion and integration solutions across batch, incremental, change data capture (CDC), streaming, and API-based approaches.
• Design and implement data models, data warehouses, data lakes, and modern cloud data platforms.
• Develop reliable, reusable, and maintainable transformation processes that support analysts, data scientists, and business teams with trusted data.

Data Platform Quality, Reliability, and Operations

• Improve data quality, reliability, observability, monitoring, and error handling across pipelines and platforms.
• Build automated testing, CI/CD workflows, version control practices, and other engineering standards to improve delivery quality and speed.
• Troubleshoot complex data and platform issues and identify opportunities to enhance performance, scalability, and maintainability.

Collaboration and Data Access

• Partner with data analysts, data scientists, product teams, software engineers, and business stakeholders to understand requirements and deliver data solutions supporting business outcomes.
• Help create self-service data capabilities that make it easier for teams across Lennar to access and use data.

Governance, Security, and Ongoing Improvement

• Contribute to data governance, security, compliance, and access-control practices.
• Stay current with emerging data technologies and engineering practices and help identify where they can be applied at Lennar.

Required and Preferred Qualifications

• Professional experience designing, developing, and supporting data pipelines, platforms, products, or related engineering solutions.
• Strong understanding of data engineering fundamentals, including data modeling, transformation, ingestion, testing, monitoring, and data quality.
• Strong SQL skills and experience with one or more programming languages, such as Python.
• Experience working with cloud-based data platforms and modern data engineering technologies.
• Strong problem-solving and analytical skills, including the ability to break down complex technical challenges.
• Ability to collaborate effectively with technical teams, business stakeholders, and data consumers.
• Growth mindset and willingness to learn new technologies, tools, and approaches.
• Interest in understanding the business context behind data and building solutions that create meaningful business value.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field is preferred, or equivalent professional experience.
• For more senior opportunities: experience with data architecture, technical leadership, mentoring, platform strategy, and designing highly scalable data solutions.

Technologies

• AWS, S3, EMR, Glue, Lambda, EKS, EC2, CloudWatch
• Snowflake, dbt, SQL, Python
• ETL/ELT, change data capture (CDC), REST APIs, streaming
• Airflow, Prefect, GitHub, CI/CD, automated testing
• Data modeling, data warehousing, data lakes, data architecture, data governance, security, access controls, data quality
• Qlik Replicate

Location and Work Setting

• Miami, FL (onsite)
• Primarily a sedentary office position requiring the ability to operate computer equipment and perform associated physical tasks, including bending, stooping, reaching, and lifting and moving and carrying up to 25 lbs. Finger dexterity is necessary.
• Travel may be required up to 10% of the time to locations within the Lennar family of companies.

Benefits

• Health insurance plans (Medical, Dental, Vision)
• 401(k) Retirement Plan with $1 for $1 Company Match up to 5%
• Paid Parental Leave
• Associate Assistance Plan
• Education Assistance Program
• Up to $30,000 in Adoption Assistance
• Up to three weeks of vacation annually
• Holiday, Sick Leave, and Personal Day policies
• New Hire Referral Bonus Program
• Home Purchase Discounts
• Everyone’s Included Day
• Additional details available at Lennartotalrewards.com

Talent Community Note

This is a proactive posting for Lennar’s Data Engineering talent community and is not tied to a specific current opening. By expressing interest, you can introduce yourself to the team and be considered for future Data Engineering opportunities aligned with your experience, technical interests, and career goals.