Data Engineer

Build scalable data platforms and shape future Enterprise Data & Analytics opportunities with Lennar. This proactive talent community posting connects Data Engineers with potential roles in Miami, FL (onsite) as needs evolve. Depending on your background, you may design and operationalize data engineering solutions, pipelines, and data platforms using modern cloud technologies.

What you’ll do

• Design, build, and operationalize scalable data engineering solutions for Lennar data platforms and products.
• Develop and optimize ETL/ELT pipelines that consolidate information from diverse data sources.
• Create data ingestion and integration solutions using batch, incremental loads, CDC, streaming, and API-based approaches.
• Design and implement data models, data warehouses, data lakes, and modern cloud data platforms.
• Build reliable, reusable, and maintainable transformation processes that support trusted data for analysts, data scientists, and business teams.
• Enhance data quality and strengthen reliability through observability, monitoring, and error handling across pipelines and platforms.
• Create automated testing, CI/CD workflows, version control practices, and other engineering standards that improve delivery quality and speed.
• Partner with data analysts, data scientists, product teams, software engineers, and business stakeholders to understand requirements and deliver data solutions aligned to business outcomes.
• Help enable self-service data capabilities so teams across Lennar can access and use data more easily.
• Contribute to data governance, security, compliance, and access-control practices.
• Troubleshoot complex data and platform issues, identifying opportunities to improve performance, scalability, and maintainability.
• Stay current with emerging data technologies and engineering practices and help identify opportunities to apply them at Lennar.

Requirements

• Professional experience designing, developing, and supporting data pipelines, platforms, products, or related engineering solutions.
• Strong command 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 with cloud-based data platforms and modern data engineering technologies.
• Strong problem-solving and analytical skills with the ability to break down complex technical challenges.
• Ability to collaborate effectively with technical teams, business stakeholders, and data consumers.
• A growth mindset with willingness to learn new technologies, tools, and approaches.
• Interest in understanding the business context behind data and building solutions with meaningful business value.
• A 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 you may work with

• 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

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
• For the full benefits suite: lennartotalrewards.com

Office and physical requirements

• Primarily a sedentary office position requiring ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move/carry 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.

How this posting works

This is a proactive posting for the Data Engineering talent community and is not tied to a specific current opening. Expressing your interest gives you the chance to introduce yourself to the team and be considered for future Data Engineering opportunities that align with your experience, technical interests, and career goals.