Data Engineer

The Data Engineer will play a pivotal role in operationalizing the most-urgent data, analytics, artificial intelligence and machine learning initiatives for The RMR Group's business initiatives. The bulk of the data engineer's work would be building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers.

The Data Engineer must have experience in generative model training, data sampling techniques and natural language processing (NLP). You will be responsible for development and implementation of advanced analytical models and algorithms to support decision making and strategic planning within the organization.

Data engineers also need to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing these integrated and reusable data pipelines. This would enable faster data access, integrated data reuse and vastly improved time-to-solution for The RMR Group's data and analytics initiatives.

This role will require both creative and collaborative work with IT and the wider business. It will involve evangelizing effective data management practices and promoting a better understanding of data and analytics. The data engineer will also be tasked with working with key business stakeholders, IT experts and commercial real estate experts to plan and deliver optimal analytics and data science solutions.

Serve as a key contributor to identify, evaluate, and execute the development and implementation of data infrastructure.
• Perform analysis on large datasets to make and implement recommendations for maximizing customer experience.
• Assists in the design and implementation of relational databases and structures as needed
• Works collaboratively with Application development teams throughout the product development process, to ensure optimal usage of SQL.
• Server, Snowflake, Azure/Fabric lakehouse for storage and transaction processing.
• 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.
• Writes, refines, and optimizes T-SQL code for maximum performance, reliability, and maintainability.
• Participate in developing cutting-edge storage design structures and data processing flows.
• Creates documentation for both new and existing code.
• Work collaboratively with varied stakeholders and business experts across departments.
• Refine business data requirements for various data and analytics initiatives.
• 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.

• 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.
• 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
• 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
• Commercial real estate industry knowledge would be a plus.
• 8+ years of experience in data engineering, data processing or including strategies for data ingestion, governance, storage, and retrieval.
• 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.
• 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.
• 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.
• 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.
• Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helps to move them in production.
• Experience working with popular data discovery, analytics, and BI software tools like Power BI, Tableau, Alteryx, and others.
• Experience with the Microsoft SQL Server Business Intelligence stack (SSAS, SSIS, SSRS), and Excel/Power Query.
• 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.
• Experience with agile and lean development methodologies (SCRUM/Lean).
• Must be a self-starter with excellent problem-solving skills and excellent written/verbal communication skills.
• Knowledge and experience with cloud data management and analytics with Microsoft Azure or Amazon AWS are strongly preferred.
• Proven ability to develop, train, and evaluate machine learning and deep learning models
• Familiarity with transformer-based NLP architecture (e.g., BERT, GPT) and libraries such as Hugging Face and spaCy.
• Proficient in causal inference, uplift modeling, and designing interpretable A/B experiments
• Deep understanding of experiment tracking and model reproducibility using MLflow, DVC, or Weights & Biases.
• Strong business acumen with the ability to link models to measurable impact and decision-making
• Skilled in techniques for handling missing data, encoding categorical variables (e.g., one-hot, ordinal, frequency), and detecting outliers.
• Experience with normalization and scaling strategies such as StandardScaler, Min-Max, log transformations, and robust scaling.
• Familiarity with feature generation methods including binning, polynomial features, target encoding, and interaction terms.
• Proficient with scikit-learn pipelines and feature-engine to enforce repeatability and modularity.
• Ability to audit data for leakage, drift, and preprocessing-related errors during model training and inference.
• Advanced Python programming for data science (pandas, scikit-learn, LightGBM, XGBoost, PyTorch, TensorFlow).
• Strong SQL skills for exploratory data analysis and feature development across Snowflake, Synapse, or SQL Server.
• Hands-on experience with Azure Machine Learning Studio: AutoML, compute clusters, deployment, and ML pipelines.
• Data storytelling expertise using Streamlit, Plotly, Power BI, or other visual communication tools.
• Version control and CI/CD familiarity using Git and integrated deployment tools.
• Exposure to unstructured data (text, images, audio) and multimodal pipelines.
• Awareness of privacy-preserving ML and responsible AI principles.
• Experience analyzing production performance metrics and identifying model drift.
• Excellent interpersonal and organizational skills.

The RMR Group (Nasdaq: RMR) is a leading U.S. alternative asset management company, unique for its focus on commercial real estate (CRE) and related businesses. RMR's vertical integration is strengthened by over 1,100 real estate professionals in more than 30 offices nationwide who manage over $41 billion in assets under management and leverage more than 35 years of institutional experience in buying, selling, financing and operating CRE. RMR benefits from a scalable platform, a deep and experienced management team and a diversity of real estate strategies across its clients. RMR has been recognized by The Boston Globe as a "Top Place to Work", by the Environmental Protection Agency (EPA) as an "ENERGY STAR Partner of the Year" and ranked by the Building Owners and Managers Association (BOMA) as having one of the highest number of BOMA 360 designated properties in its portfolio. RMR is headquartered in Newton, MA and was founded in 1986.

RMR's mission is to create long term value for our clients by managing their investments and assets "like we own it" - an approach that consistently and repeatedly generates opportunities for all our employees, investors and stakeholders. We are guided by six core values:

• Integrity at Our Core.
• Perform Passionately and Effectively.
• Inspired Thinking.
• Like We Own It.
• Power of We.
• Mutual Respect.

Visit our website to learn more about what makes The RMR Group a rewarding place to build a career.

Follow RMR on LinkedIn, on Instagram @thermrgroup and on Twitter @The_RMR_Group.

The RMR Group is an equal opportunity employer. Qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.