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About the Role

As a Data Engineer, you will analyze large volumes of business data to solve real-world problems and develop metrics that drive business insights. You will own large datasets, implement critical data pipelines, and collaborate with cross-functional teams to automate and scale data analysis.

Responsibilities

• Design, implement, and support analytical data infrastructure using modern data warehouse concepts.
• Build and maintain scalable ETL processes for structured and unstructured data.
• Optimize data storage and retrieval for performance, scalability, and cost-efficiency.
• Manage AWS resources including EC2, S3, Glue, Lambda, APIs, IAM, and CloudWatch.
• Extract, transform, and load data from diverse sources using SQL and AWS big data technologies.
• Explore and implement new AWS technologies to increase efficiency.
• Collaborate with Data Scientists and BIEs to adopt best practices in reporting and analysis.
• Automate and simplify self-service reporting processes.
• Maintain and troubleshoot internal reporting platforms and tools.
• Interact with users to define report specifications.
• Partner with Engineering to shape BI infrastructure and analytics platforms.
• Contribute to the development of BI tools, skills, and organizational culture.
• Write advanced SQL queries and Python code.
• Collaborate on AI initiatives and align them with organizational goals.
• Manage CI/CD pipelines and deployments.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-5 years of experience in data engineering or a related role.
• Proficiency in AWS services: Glue, Lambda, S3, EC2, CloudWatch, and CloudTrail.
• Experience with Dbt, Snowflake, SQL, Python, and Qlik.
• Ability to write complex SQL queries, perform optimization, and conduct performance tuning.
• Experience with NoSQL databases such as MongoDB, Cassandra, or DynamoDB.
• Strong programming skills in Python, Java, or Scala.
• Experience with data processing frameworks like Apache Spark or Hadoop.
• Experience with cloud platforms including AWS, Azure, or GCP.
• Knowledge of big data technologies including Kafka and HBase.
• Familiarity with data orchestration tools like Apache Airflow.
• Experience with data versioning and testing tools like DVC and dbt.
• Understanding of data security practices including encryption, access controls, and data masking.
• Ability to work in-person at the office during regular hours.
• Ability to lift and move up to 25 lbs.

Skills

• Data Engineering
• SQL
• Python
• AWS
• Snowflake
• ETL
• Data Warehousing
• CI/CD
• NoSQL
• Big Data Technologies
• Data Orchestration

Work Type

• Full-time
• Onsite

Experience Level

• 3-5 years

Education Level

• Bachelor's degree

Benefits

• Medical, Dental, and Vision insurance
• 401(k) Retirement Plan with 5% company match
• Paid Parental Leave
• Associate Assistance Plan
• Education Assistance Program
• Adoption Assistance up to $30,000
• Three weeks of annual vacation
• Holiday, Sick Leave, and Personal Day policies
• New Hire Referral Bonus Program
• Home Purchase Discounts
• Everyone’s Included Day

About the Company

• Leading national homebuilder and Fortune 500 company.
• Dedicated to building quality homes and providing exceptional customer service.
• Fosters a culture of opportunity, growth, and inclusivity.

Equal Opportunity

• Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.