Kablio AI
AI Turbo Recruiter
Want to hear how I work? Hit play.Kablio AI applies for you. You just show up to the interviewKablio AI helps you secure roles in construction, clean energy, facilities management, engineering, architecture, sustainability, environment and other physical world sectors.
Get hired, get rewarded!
Land a job through Kablio and earn a 5% salary bonus.
Exclusive benefits
5%Bonus
Data Engineer
The Rmr Group
Design, build, and manage data pipelines and AI/ML solutions for commercial real estate analytics.
2d ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Orlando, FL
Office Full-Time
Company Size
1,500 Employees
Service Specialisms
Property Management
Asset Management
Real Estate Investment
Property Development
Leasing
Property Operations
Investment Management
Construction Management
Sector Specialisms
Office Buildings
Industrial Properties
Retail Properties
Healthcare Properties
Hospitality Properties
Residential Properties
Role
What you would be doing
data governance
azure datafactory
sql optimization
database design
data analysis
documentation
- Participate in ensuring compliance and governance during data use: It will be the responsibility of the data engineer to ensure that the data users and consumers use the data provisioned to them responsibly through data governance and compliance initiatives.
- Participate in logic and technical design, peer code reviews, unit testing, and documentation of code developed.
- Works collaboratively with Application development teams throughout the product development process, to ensure optimal usage of SQL.
- Refine business data requirements for various data and analytics initiatives.
- Build data pipelines with Azure Data Factory (ADF) to feed Microsoft SQL Server Business Intelligence stack including relational databases, data cubes (tabular/multidimensional), SQL Reporting, Power BI, and other tools as needed.
- Work collaboratively with varied stakeholders and business experts across departments.
- Creates documentation for both new and existing code.
- Serve as a key contributor to identify, evaluate, and execute the development and implementation of data infrastructure.
- Participate in developing cutting-edge storage design structures and data processing flows.
- Assists in the design and implementation of relational databases and structures as needed
- Perform analysis on large datasets to make and implement recommendations for maximizing customer experience.
- Writes, refines, and optimizes T-SQL code for maximum performance, reliability, and maintainability.
What you bring
sql
azure ml
python
power bi
master’s
8+ years
- 5+ years of experience developing SQL/T-SQL including, Single-row and Multi-row functions, complex joins, Common Table Expressions (CTEs), Procedures, Packages, ETL jobs, and Data linages in ADF.
- Ability to audit data for leakage, drift, and preprocessing-related errors during model training and inference.
- Hands-on experience with Azure Machine Learning Studio: AutoML, compute clusters, deployment, and ML pipelines.
- Bachelor's degree in Computer science, statistics, applied mathematics, data management, information systems, information science, or a related quantitative field or equivalent work experience is required.
- Proven ability to develop, train, and evaluate machine learning and deep learning models
- Proficient in causal inference, uplift modeling, and designing interpretable A/B experiments
- Familiarity with transformer-based NLP architecture (e.g., BERT, GPT) and libraries such as Hugging Face and spaCy.
- Commercial real estate industry knowledge would be a plus.
- Experience with the Microsoft SQL Server Business Intelligence stack (SSAS, SSIS, SSRS), and Excel/Power Query.
- Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using traditional data integration technologies. These should include ETL/ELT, data replication/CDC, message-oriented data movement, and API design.
- Experience working with popular data discovery, analytics, and BI software tools like Power BI, Tableau, Alteryx, and others.
- Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helps to move them in production.
- Strong SQL skills for exploratory data analysis and feature development across Snowflake, Synapse, or SQL Server.
- Exposure to unstructured data (text, images, audio) and multimodal pipelines.
- Strong business acumen with the ability to link models to measurable impact and decision-making
- Strong experience with popular database programming languages including SQL for relational databases and knowledge of upcoming NoSQL/Hadoop oriented databases like MongoDB, Cosmos DB, others for nonrelational databases.
- Familiarity with feature generation methods including binning, polynomial features, target encoding, and interaction terms.
- Skilled in techniques for handling missing data, encoding categorical variables (e.g., one-hot, ordinal, frequency), and detecting outliers.
- Version control and CI/CD familiarity using Git and integrated deployment tools.
- Demonstrated training in research methodology and empirical data analysis, including study design, statistical testing, and interpreting complex data patterns for real-world decision-making
- Strong foundation in statistical modeling, hypothesis testing, and experimental design
- Ability to apply DevOps principles to data pipelines to improve the communication, integration, reuse, and automation of data flows between data managers and consumers across an organization.
- Knowledge and experience with cloud data management and analytics with Microsoft Azure or Amazon AWS are strongly preferred.
- Advanced Python programming for data science (pandas, scikit-learn, LightGBM, XGBoost, PyTorch, TensorFlow).
- Awareness of privacy-preserving ML and responsible AI principles.
- Excellent interpersonal and organizational skills.
- Data storytelling expertise using Streamlit, Plotly, Power BI, or other visual communication tools.
- Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management. The ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
- 8+ years of experience in data engineering, data processing or including strategies for data ingestion, governance, storage, and retrieval.
- Proficient with scikit-learn pipelines and feature-engine to enforce repeatability and modularity.
- Must be a self-starter with excellent problem-solving skills and excellent written/verbal communication skills.
- Experience analyzing production performance metrics and identifying model drift.
- Experience with normalization and scaling strategies such as StandardScaler, Min-Max, log transformations, and robust scaling.
- Deep understanding of experiment tracking and model reproducibility using MLflow, DVC, or Weights & Biases.
- Experience with agile and lean development methodologies (SCRUM/Lean).
- Master’s or PhD in a natural science discipline (e.g. Statistics, Mathematics, Computer Science, Physics, Engineering, etc.), or a quantitative social science (e.g., Economics, Political Science, Psychology, Sociology) with strong statistics training preferred
- Server, Snowflake, Azure/Fabric lakehouse for storage and transaction processing.
Information not given or found
Training + DevelopmentInformation not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
People also searched
Company
Overview
30 Million+ sq ft
Total real estate managed
The company manages over 30 million square feet of commercial, office, retail, and residential properties across major metropolitan areas.
- Specializes in managing and investing in real estate properties.
- Primarily focuses on commercial assets including office buildings, retail spaces, and residential properties.
- Partners with institutional investors to deliver value through strategic acquisitions and management.
- Known for repositioning and revitalizing underperforming assets to maximize long-term returns.
- Has a strong reputation with deep industry expertise and long-standing relationships with tenants and investors.
- Achievements include successful large-scale, mixed-use developments in major metropolitan areas.
- Challenge our employees to bring their best thinking and ideas to the forefront every day.
- Provide an inclusive environment that encourages our people to excel in their work, collaborate and connect with each other, and forge strong connections with the communities in which we operate.
- Entrepreneurial environment rewards innovation and action.
- Employees are encouraged to take initiative and given the support to have an immediate, positive impact.
- Steadfast, measured growth ... fostering growth in our organization, our lines of business, and most importantly, each and every employee.
- Developing our employees' possibilities expands RMR's horizons.
- A tradition of community involvement ... supporting our communities is both good citizenship and good business.
100% reduction by 2050
Operational Emissions Target
Aims to achieve zero operational emissions by 2050, with an interim target of a 50% reduction by 2029 from the 2019 baseline.
28.3% reduction in 2022
Energy Efficiency Achievement
In 2022, the company achieved significant reductions in energy use, GHG emissions, water consumption, and waste diversion compared to the 2019 baseline.
50% waste diversion
Waste Management Goal
Achieved a 50% diversion of generated waste from landfills, meeting the target ahead of schedule in 2024.
$9.8M energy savings
Energy Monitoring Impact
Accumulated $9.8 million in energy savings through real-time energy monitoring as of 2022.
- Committed to monitor 90% of managed energy spend via real-time monitoring within five years
- On-site solar energy program launched in collaboration with tenants
- 245 properties with ENERGY STAR®, LEED or BOMA 360 certifications as of 2023
- Partnerships with industry groups introducing women and minority college/MBA students to real estate careers
- Targeted development programs for women and minority professionals
- Employee learning forums on diversity, unconscious bias and inclusive culture
- RMR Leans In: dialogue forums on women’s workplace issues, mentoring/sponsorship
- Accelerated Women in Leadership Program: training on unconscious bias, work‑life integration, negotiation skills
Kablio AIIf you're someone who helps build and power the world (or dreams to), Kablio AI is your pocket-sized recruiter that gets you hired.
Copyright © 2025 Kablio