Data Engineer

Join Lennar’s proactive talent community to be considered for future Data Engineering roles in Enterprise Data & Analytics, based on your background.

Responsibilities

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

Requirements

• Professional experience designing, developing, and supporting data pipelines, platforms, products, or related engineering solutions
• Strong fundamentals in data engineering: 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 for breaking 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 business context behind the data and building solutions that create business value
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field 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

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
• Visit Lennartotalrewards.com to view the suite of benefits

Physical & Office/Site Presence Requirements

• Primarily a sedentary office position
• Ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs
• Finger dexterity necessary
• Travel may be required up to 10% of the time to locations within the Lennar family of companies

About This Posting

• Proactive posting for the Data Engineering talent community; not tied to a specific current opening
• Submit your interest to introduce yourself and be considered for future Data Engineering opportunities aligned with your experience, technical interests, and career goals

Location: Miami, FL (onsite)

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field preferred