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Data Engineer
The Rmr Group
24d ago
$80,000
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
t-sql optimization
data governance
data pipelines
collaborative development
business requirements
agile ceremonies
- Serve as a key contributor to identify, evaluate, and execute the development and implementation of data infrastructure.
- Writes, refines, and optimizes T-SQL code for maximum performance, reliability, and maintainability
- 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.
- 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
- Participate in developing cutting-edge storage design structures and data processing flows
- Work collaboratively with varied stakeholders and business experts across departments
- 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.
- Participate in agile development ceremonies, and interacting with both business analysts and end-users to come up with well-performing and scalable solutions.
- Refine business data requirements for various data and analytics initiatives.
- Creates documentation for both new and existing code
- Perform analysis on large datasets to make and implement recommendations for maximizing customer experience
What you bring
8+ years
etl/elt
sql server
data governance
sql
cloud
- 8+ years of experience in data engineering or including strategies for data ingestion, governance, storage, and retrieval.
- 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.
- Excellent interpersonal and organizational skills.
- 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.
- Experience with the Microsoft SQL Server Business Intelligence stack (SSAS, SSIS, SSRS), and Excel/Power Query
- 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.
- 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.
- Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production.
- Knowledge and experience with cloud data management and analytics with Microsoft Azure or Amazon AWS are strongly preferred.
- 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.
- 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 working with popular data discovery, analytics, and BI software tools like Power BI, Tableau, Alteryx, and others.
- Commercial real estate industry knowledge would be a plus.
- 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.
- Commercial real estate industry knowledge or previous experience would be a plus.
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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
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