Data Engineer: Build Scalable Data Platforms & Pipelines

Lennar USA; Irving (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Paid parental leave

Adoption assistance

Home purchase discounts

Job summary

Lennar is building a modern data platform and is seeking Data Engineers to design and operationalize scalable data pipelines and data products. This proactive talent community role connects you with future Lennar Enterprise Data & Analytics opportunities.

We welcome experience in data ingestion, modeling, and cloud-based data platforms, with a focus on delivering trusted data for analysts, data scientists, and business teams.

Qualifications

• Strong SQL skills and experience with Python or similar programming languages.
• Experience designing, developing, and supporting data pipelines, platforms, or products.
• Experience with cloud-based data platforms and modern data engineering technologies.
• Understanding of data modeling, data ingestion, testing, monitoring, and data quality.

Responsibilities

• Design, build, and operationalize scalable data engineering solutions for Lennar's data platforms and products.
• Build and optimize ETL and ELT pipelines integrating diverse data sources.
• Develop ingestion and integration solutions using batch, CDC, streaming, and API-based approaches.
• Design data models, warehouses, data lakes, and cloud data platforms.
• Improve data quality, observability, monitoring, and error handling across pipelines.

Skills

SQL

Python

Data pipelines

Cloud platforms

Data modeling

ETL/ELT

Education

Bachelor's degree

Tools

Airflow

dbt

GitHub

Job description

Lennar is building a modern data platform and is seeking Data Engineers to design and operationalize scalable data pipelines and data products. This proactive talent community role connects you with future Lennar Enterprise Data & Analytics opportunities.

We welcome experience in data ingestion, modeling, and cloud-based data platforms, with a focus on delivering trusted data for analysts, data scientists, and business teams.