Senior Data Engineer

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

Location Charleston - 997 Morrison Drive, Suite 402 Business

We know that a 'one-size-fits-all' approach doesn't work when it comes to residential living. That's why our portfolio features a wide range of options for any stage of life. And though our properties may be diverse, one thing is universal: all offer the unparalleled quality, service, and support our residents deserve.

Position Summary

The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and cloud-based data systems that support analytics and data-driven decision-making across the organization. This role requires expertise in data architecture, ETL development, and modern cloud technologies, with a focus on ensuring high-quality, reliable, and efficient data solutions.

The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and Redshift. Experience integrating Salesforce data and working with orchestration tools such as Airflow or AWS Glue is also highly valued. In this role, the Senior Data Engineer will collaborate closely with data analysts, scientists, software engineers, and business stakeholders to improve data accessibility, performance, and scalability.

Key responsibilities include developing and maintaining automated ETL frameworks, managing enterprise data products, implementing DevOps and CI/CD practices, and ensuring data quality and governance standards are met. The position also involves researching and adopting emerging technologies to continuously enhance the organization’s data infrastructure and operational efficiency. The ideal candidate will possess strong problem-solving abilities, excellent communication skills, and experience working within agile development environments. Preferred qualifications include certifications in cloud or data engineering platforms, familiarity with non-relational databases and OpenSearch technologies, and exposure to business intelligence tools such as Tableau or Power BI. Success in this role will be measured by pipeline performance, data reliability, cross-functional collaboration, and contributions toward innovation and infrastructure optimization.

Pipeline Development & Data Integration (50%)

Design, develop, optimize, and maintain scalable ETL/ELT pipelines and cloud-based data integrations across enterprise systems, APIs, and operational platforms including Yardi and Salesforce. Build reliable, high-performance workflows that support the movement and transformation of data from SQL Server and other source systems into AWS-based analytics platforms including Redshift and S3.

• ETL/ELT pipeline development and optimization
• SQL Server, API, Yardi, Salesforce, and third-party integrations
• AWS S3 and Redshift data workflows
• Airflow and AWS Glue orchestration
• Pipeline monitoring, reliability, and SLA management

Collaboration with Analytics, Data Science, and Stakeholders and Data Enablement (30%)

Develop and maintain enterprise datasets, models, and transformation frameworks while partnering with Analytics, Data Science, AI Initiatives, and Business teams to refine requirements, improve data accessibility, and deliver trusted datasets that support reporting, analytics, and operational decision-making.

• Data modeling and warehousing
• Data quality, governance, and documentation
• Cross-functional collaboration with business, analytics and AI teams
• Dataset refinement and business requirements gathering
• Support for BI, AI/ML, and operational analytics initiatives

Architecture, Strategic Initiatives & Operational Excellence (20%)

Contribute to enterprise data platform and strategy through participation in large-scale initiatives, complex integration design, and modernization of data infrastructure. Support scalable and reliable operations through DevOps, automation, CI/CD, and infrastructure management best practices.

• Enterprise data architecture and integration design
• Strategic technology evaluation and innovation
• Infrastructure automation and CI/CD practices
• Docker, Terraform, and deployment management
• Agile/Scrum participation and operational support

Education

• Undergraduate (Bachelor) Degree in MIS, Computer Science, Information Technology required

Work Experience

• 5 - 7 Years of experience developing ETL & System Integration pipelines required
• 5 - 7 Years of experience designing, building, and improving large data models in complex environments required
• 5 - 7 Years of experience with Cloud Technologies like Airflow, Glue, or similar ETL Tools
• 5 - 7 Years of experience with SQL, Redshift, Snowflake or similar data warehouse solutions required
• 5 - 7 Years of experience developing complex Python code to support various integration needs

Travel

Travel up to 20% of the time; rarely travel

Great Incentives!

We care about the well-being and work-life balance of our valued associates! To show how much we care, we offer awesome incentives that include:

• Full benefits package
• Generous paid time off
• 401(k) with company match
• Growth and advancement opportunities

Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. Drug free workplace

#LI-JR1

#BPMF

We are proud to create a diverse environment and are proud to be an equal opportunity employer.

We are grateful for your interest in this position, however, only candidates selected for pre-screening will be contacted.

By leveraging the global scale of our operating companies and fostering trusted local partnerships, we collaborate seamlessly to support our communities and achieve shared success. The Brookfield Real Estate ecosystem spans the globe through multiple operating companies, all united by our core values. We cover every facet of real estate- from offices and retail spaces to logistics centers, residential homes, and hotels. Across thousands of properties worldwide, we combine world-class expertise with deep local insights to drive exceptional value. Together, we transform neighborhoods and build lasting communities that stand the test of time.