Data Engineer | Talent Community

Lennar•Irving, TX

6d•Onsite

About The Position

We are always looking to connect with talented Data Engineers who are excited about building the platforms and products that turn data into something our teams can use to make better decisions. This is a proactive talent community opportunity for Data Engineers interested in exploring future opportunities with Lennar. While we may not have an immediate opening that matches your background, we'd like to get to know you and stay connected as our Enterprise Data & Analytics organization continues to grow. Whether your expertise is in data platforms, data pipelines, cloud data engineering, data architecture, data integration, streaming, analytics engineering, or another area of data engineering, we welcome the opportunity to learn more about your experience and career interests.

Requirements

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, with the ability to break down complex technical challenges.
The ability to collaborate effectively with technical teams, business stakeholders, and data consumers.
A growth mindset and willingness to learn new technologies, tools, and approaches.
An interest in understanding the business context behind the data and building solutions that create 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 may also be relevant.

Nice To Haves

AWS, including services such as S3, EMR, Glue, Lambda, EKS, EC2, and CloudWatch
Snowflake and modern cloud data warehouse technologies
dbt and modern analytics engineering practices
SQL and Python
ETL/ELT, data ingestion, CDC, REST APIs, and streaming
Airflow, Prefect, or other orchestration and scheduling technologies
GitHub, CI/CD, automated testing, and modern software development practices
Data modeling, data warehousing, data lakes, and data architecture
Data governance, security, access controls, and data quality
Data replication and integration technologies such as Qlik Replicate

Responsibilities

Design, build, and operationalize scalable data engineering solutions for Lennar's data platforms and products.
Build and optimize ETL and ELT pipelines that bring together data from diverse sources.
Develop data ingestion and integration solutions using 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.
Build reliable, reusable, and maintainable data transformation processes that enable analysts, data scientists, and business teams to work with trusted data.
Improve data quality, reliability, observability, monitoring, and error handling across data pipelines and platforms.
Develop automated testing, CI/CD workflows, version control practices, and other engineering standards that improve the quality and speed of delivery.
Partner with data analysts, data scientists, product teams, software engineers, and business stakeholders to understand requirements and deliver data solutions that support real business outcomes.
Help create self-service data capabilities that make it easier for teams across Lennar to access and use data.
Contribute to data governance, security, compliance, and access-control practices.
Troubleshoot complex data and platform issues and identify 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.