Data Engineer

Data Engineer

Job :

Locations: US-MA-Newton | US-FL-Orlando | US-GA-Atlanta

Department:
Information Technology

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.
• Assist in the design and implementation of relational databases and structures as needed.
• Work 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.
• Write, refine, and optimize T‑SQL code for maximum performance, reliability, and maintainability.
• Participate in developing cutting‑edge storage design structures and data processing flows.
• Create 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,…