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Senior Data Engineer

Brookfield Properties

Charleston, SCFull-timeSeen 5mo agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
Charleston, SC
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

The Senior Data Engineer designs, builds, and optimizes scalable data pipelines and cloud-based systems for analytics and data-driven decisions. The role develops ETL frameworks, manages enterprise data products, and supports data quality, governance, and infrastructure modernization. It collaborates with analytics, data science, engineering, and business teams. The posting seeks strong Python, SQL, and AWS proficiency; Salesforce integration and orchestration experience are highly valued.

Skills & qualifications

RequiredNice to have

Skills

Python, nice to haveSQL, nice to haveAWS, nice to haveETL Pipeline Development, nice to haveSystem Integration, nice to haveData Modeling, nice to haveCloud Technologies, nice to haveData Warehousing, nice to haveAirflow, nice to haveAWS Glue, nice to haveRedshift, nice to haveSnowflake, nice to haveSQL Server, nice to haveS3, nice to haveYardi, nice to haveSalesforce, nice to haveAPI Integration, nice to haveData Quality, nice to haveData Governance, nice to haveDevOps, nice to haveCI/CD, nice to haveDocker, nice to haveTerraform, nice to haveAgile Development, nice to haveProblem Solving, nice to haveCommunication, nice to haveNon-Relational Databases, nice to haveOpenSearch, nice to haveTableau, nice to havePower BI, nice to have

Qualifications

Bachelor's in MIS, CS, or IT, required5+ Years ETL and Integration Experience, required5+ Years Data Modeling Experience, required5+ Years Cloud Technology Experience, required5+ Years Data Warehouse Experience, required5+ Years Python Development Experience, requiredCloud or Data Engineering Certification, nice to have

Benefits

Paid Time Off
401(k) Match

Full job description

Charleston, South Carolina

Full time

R2050911

Location

Charleston - 997 Morrison Drive, Suite 402

Business

We believe home is more than a place to live. It’s where life happens; connections are made, and communities grow. That’s why we’re committed to creating welcoming places where our residents feel at home, and our people have the opportunity to make a meaningful impact.

If you’re ready to be a part of our team, we encourage you to apply.

Job Description

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.

  1. 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.Key Areas:-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

  2. 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.Key Areas:* 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

  3. 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.Key Areas:* 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 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

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.

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. 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.

How this job compares

Set against the 6,428 open Data Engineer jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This postingNot listed
  • South Carolina median$99–202K/yr43 salary ranges
  • US median$60–73/hr270 hourly ranges
Openings
Olive Jobs lists 57 open Data Engineer jobs in South Carolina and 6,428 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in South Carolina
Experience
This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,664 postings).
Education
This posting asks for a bachelor's degree; 2,498 of the 6,428 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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