We are looking for an experienced Data Engineer to help clean, standardize, and structure large volumes of real estate and regulatory compliance data.This role focuses on transforming messy, inconsistent datasets into a reliable and scalable data foundation that supports reporting, compliance tracking, and future automation.You will work closely with our business and technical teams to understand data logic, resolve inconsistencies, and design a clean, structured data environment.Responsibilities-Review and analyze existing datasets (leases, units, tenants, occupancy, rent, compliance)-Identify inconsistencies, duplicates, and missing or conflicting records-Standardize naming conventions, unique IDs, and relationships-Clean and transform data from spreadsheets, CSVs, and system exports-Build master datasets for properties, units, tenants, and leases-Develop repeatable data-cleaning workflows or pipelines-Implement data validation and quality checks-Create documentation (data dictionary, mappings, business rules)-Generate exception reports for data issues requiring reviewRequired Skills-Strong experience with SQL and Python-Experience with ETL / data transformation workflows-Solid understanding of data modeling and relational databases-Experience cleaning messy, multi-source datasets-Strong knowledge of data validation and data quality practices-Ability to work independently and communicate clearly