Senior Data Engineer: Cloud ETL & Data Pipelines

Brookfield Properties Multifamily LLC; Charleston (SC); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Full benefits package

Generous paid time off

401(k) with company match

Job summary

Brookfield Properties Multifamily LLC is seeking a Senior Data Engineer in Charleston to design, build, and optimize scalable data pipelines and cloud data systems for analytics and decision-making. You will work with Python, SQL, AWS (S3/Redshift), Airflow or Glue, and collaborate with analytics, data science, and business teams to deliver reliable datasets and governance.

The role emphasizes DevOps, CI/CD practices, data quality, and modernization of data infrastructure, with a travel up to

Qualifications

• Undergraduate degree in MIS, CS or IT.
• 5-7 years ETL and system integration experience.
• 5-7 years designing and improving large data models.
• 5-7 years with cloud tech like Airflow, Glue, or similar.
• 5-7 years with SQL, Redshift, Snowflake or similar warehouse.
• 5-7 years developing complex Python code for integrations.

Responsibilities

• Design, develop, optimize ETL/ELT pipelines and cloud data integrations across enterprise systems.
• Build reliable workflows moving data into AWS analytics platforms (Redshift, S3).
• Collaborate with Analytics, Data Science, AI and Business teams to refine requirements.
• Develop enterprise datasets, models, transformation frameworks and governance.
• Contribute to data architecture, DevOps, CI/CD, and infrastructure management.

Skills

Python

SQL

AWS

ETL/ELT

Data modeling

Data warehousing

Airflow

Terraform

Docker

Education

Bachelor's degree in MIS/CS/IT

Tools

Airflow

AWS Glue

Terraform

Docker

Job description

Brookfield Properties Multifamily LLC is seeking a Senior Data Engineer in Charleston to design, build, and optimize scalable data pipelines and cloud data systems for analytics and decision-making. You will work with Python, SQL, AWS (S3/Redshift), Airflow or Glue, and collaborate with analytics, data science, and business teams to deliver reliable datasets and governance.

The role emphasizes DevOps, CI/CD practices, data quality, and modernization of data infrastructure, with a travel up to