ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in over 260 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing more than one million units/beds globally. Across its platforms, Greystar has over $79 billion of assets under management, including approximately $36 billion of development assets and over $30 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com. JOB DESCRIPTION SUMMARY Greystar’s D2AI team is responsible for the platforms, processes, and practices that power AI across the organization. This role goes beyond traditional delivery—your decisions influence how data is transformed into intelligent, scalable solutions used by teams company‑wide. We require AI fluency because this role sits at the intersection of data, technology, and business outcomes. That means understanding how AI systems are designed and operationalized, using AI‑enabled tools in day‑to‑day work, and partnering effectively with engineering, analytics, and business teams to ensure AI solutions are reliable, responsible, and impactful. In addition to your resume, all candidates are required to include a short video (2–5 min) demonstrating how you have used AI tools in your engineering workflow — code generation, debugging, architecture, documentation, or similar. We recommend recording with Loom (free) or uploading as an unlisted YouTube video. Please embed this link at the top of your resume. Applications without a video link will not be reviewed. JOB DESCRIPTION About the Role Greystar is building the data foundation that will power the most AI-advanced operator in global multifamily real estate. We’re seeking a Backend AI-Forward Data Engineer to design, build, and operate the core data infrastructure that enables AI-powered products, analytics, and decision-making across a multi-billion dollar global portfolio. This role sits at the intersection of data engineering and applied AI — you’ll build the pipelines, platforms, and interfaces that make Greystar’s proprietary data accessible, trustworthy, and AI-ready. You will work across our Data Management Platform (DMP), MCP integrations, and AI-enabled analytics tools that serve every business unit. Our team includes engineers, designers, and product leaders with experience from Google, Microsoft, Airbnb, Strava, Amazon, and more. What You’ll Do Build and Scale AI-Ready Data Infrastructure - Design, build, and maintain scalable data pipelines that ingest, transform, and serve data from dozens of source systems (PMS, CRM, financial systems, IoT, web/mobile analytics, and third-party providers). - Develop and operate our Data Management Platform (DMP) on Databricks, ensuring data is governed, validated, and available for AI/ML workloads. - Build data models optimized for both analytical queries and AI consumption — including feature stores, embedding pipelines, and real-time serving layers. - Implement data quality frameworks including automated testing, lineage tracking, anomaly detection, and regression testing for critical data assets. Enable AI and MCP Integrations - Build and maintain MCP (Model Context Protocol) server integrations that expose Greystar’s data to LLM-powered tools and AI agents across the organization. - Design APIs and data interfaces that allow AI products (GPS, Greystar.com, internal tools) to query and act on data in real time. - Partner with Data Science and Product teams to operationalize ML models — building the infrastructure for model training, evaluation, deployment, and monitoring. - Evaluate and integrate AI-powered data tooling (e.g., AI-assisted data cataloging, automated schema detection, intelligent data quality monitoring). - Collaborate with other engineers on AI integration patterns, prompt engineering, and modern development practices. We are an AI forward team and it’s moving fast so we test, iterate, share and repeat. Drive Data Governance and Trust - Implement and enforce data governance policies including access controls, PII handling, data classification, and compliance requirements across global operations. - Build observability into data systems: monitoring, alerting, SLA tracking, and data freshness guarantees. - Contribute to Greystar’s AI governance framework, ensuring data used by AI systems is accurate, compliant, and appropriately scoped. - Document data models, pipeline architectures, and integration patterns to enable self-service for business unit analytics teams. What You Bring Data Engineering Excellence - 5+ years of professional data engineering experience building and operating production data platforms. - Deep expertise with Databricks, Spark, or similar distributed data processing frameworks. - Strong SQL skills and experience with data modeling for both analytical (star schema, data vault) and AI/ML workloads. - Deep experience with AI coding tools like Cursor, Codex, Claude Code, etc. - Proficiency in Python; experience with orchestration tools (Airflow, Dagster, or Databricks Workflows). - Experience with cloud data platforms (ADLS, Synapse, Azure ML; AWS/GCP acceptable). AI/ML Data Infrastructure - Experience building data infrastructure that supports ML workflows: feature stores, training pipelines, embedding generation, and model serving. - Familiarity with LLM integration patterns including RAG architectures, vector databases (Pinecone, Weaviate, or similar), and MCP or tool-use frameworks. - Understanding of how AI/ML models consume data and the engineering requirements for reliable, low-latency AI data serving. - Awareness of AI governance considerations: data provenance, bias detection, and responsible AI data practices. Domain Knowledge (Preferred) - Experience in real estate, property management, financial services, or asset management is a strong plus. - Familiarity with multi-source data environments where data arrives in heterogeneous formats with varying quality. - Experience building data products that serve multiple business units with different access and governance requirements. Mindset & Communication - AI-first mindset — you leverage AI tools in your own workflow and think about how data infrastructure should evolve as AI capabilities advance. We’ll want to see something you built on the side as a passion project. - Strong ownership mentality; you care about data quality as a product, not just a pipeline. - Clear communicator; able to explain data architecture decisions to product managers, analysts, and business stakeholders. - Collaborative approach across engineering, product, analytics, and business teams. Tools & Technologies - Databricks, Spark, Delta Lake, Unity Catalog. - Python, SQL, dbt or similar transformation frameworks. - Azure cloud services (ADLS, Azure ML, Synapse) or equivalent. - Git, CI/CD, infrastructure as code (Terraform or similar). - Familiarity with data catalog, lineage, and observability tools (Monte Carlo, Great Expectations, or similar). The salary range for this position is $100,000-$125,000 USD Annually. #LI-Remote #LI-BB1 Additional Compensation: Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location. - Corporate Positions: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance. - Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs. Robust Benefits Offered*: - Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service. - Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure. - For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability. - 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter). - 401(k) with Company Match up to 6% of pay after 6 months of service. - Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy). - Employee Assistance Program. - Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans. - Charitable giving program and benefits. *Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority. Greystar will consider for employment qualified applicants with arrest and conviction records. Important Notice: Greystar will never request your banking details or other sensitive personal information during the interview process. Greystar does not conduct any interviews via text or messaging, and all communication will come from official Greystar email addresses (@greystar.com). If you receive suspicious requests, please report them immediately to AskHR@greystar.com. ANTICIPATED CLOSING DATE May 31, 2026This date may be subject to change due to evolving business needs.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Posting Description ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** As a Data Engineer you will play a role in designing, building and maintaining our data infrastructure and data ingestion framework. You will closely collaborate with cross-functional value stream teams, business teams, architects and testers to design and implement scalable data solutions on AWS cloud that empowers data-driven reporting across the organization as well as external vendors. Solid knowledge in Python, ETL methodologies, SQL and Big Data solutions is critical for success. What you will do: - Design, develop and maintain scalable data and file ingestion framework. - Collaborate with cross-functional value stream teams, analysts and business stakeholders to understand and refine the data requirements and translate them into technical solutions. - Optimize data ingestion framework for performance and reliability. - Follow data governance and security best practices. - Troubleshoot data integrity and performance issues. - Participate in code reviews and enforce coding standards. - Participate in architectural decisions and design discussions. - Work on initiatives to mitigate and/or alleviate core data application issues, including opportunities for process automation. - Stay updated with the latest trends and technologies in data engineering and apply them to improve our data framework. - Collaborate with colleagues regarding development of best practices and/or data application issues. - Provide input and work on initiatives to mitigate and/or alleviate core data application issues, including opportunities for process automation. - Operate independently with some latitude for un-reviewed actions or decisions. - Complete other duties as assigned. What you will bring: - Bachelor's degree in computer science or related field (Information Systems, Mathematics, Software Engineering) or equivalent combination of training and experience. - 2 - 4 years of software development experience preferably in a Data related field. - Experience with ETL development and design using Python, Big Data (Hadoop/SPARK) - SQL knowledge, RDBMS experience on any recognized database (Aurora, MySQL, Postgres, Redshift). - Experience on the AWS platform - Understanding of dimensional model and ER designs. - Strong written and verbal communication skills - SDLC (Software Development Life Cycle) and Agile Methodology - Exposure to Data Warehouse principles. - 2 years IT in financial or other highly regulated industry preferred - Use of JIRA in Agile development strongly desired - Knowledgeable about DevOps and CI/CD best practices is a plus What will set you apart: - Experience with new technologies like QuickSight, Co-Pilot, etc. preferred - Communicate in a friendly and professional manner with customers and colleagues remain calm in stressful situations independently troubleshoot program errors regardless of technology write user-friendly explanations of highly technical functionality desired - Customer Focus is a plus: Delivers internal and external customer service excellence. Exhibits listening skills, patience, empathy, authenticity, pro-activity, and perseverance with external and internal customers. Upholds commitment to delivering optimal solutions, in a timely manner, and balances customer needs with the best interests of the organization. Maintains a positive approach despite challenges, constraints, and/or customer emotions. - Building Partnerships desired: Builds collaborative and cooperative relationships; effectively manages conflict. Finds common ground and builds trust with co-workers, managers, partners, and customers through demonstration of inclusiveness and appreciation for diverse backgrounds, cultures, thoughts and experiences. Operates with integrity and communicates respectfully in language, writing, and actions. Shows interest in and supports the success of others; provides encouragement, celebrates wins. Addresses conflict openly and respectfully, addresses through proper channels. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. - Medical, dental, vision and life insurance - Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup - Tuition reimbursement up to $5,250/year - Business-casual environment that includes the option to wear jeans - Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year - Paid volunteer time — 16 hours per calendar year - Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) - Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $87,400.00 - $123,400.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 03-14-2026 Want the latest money news and views shaping how we live, work and play? 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About the Company Vantage Group Holdings Ltd. (Vantage) was established in late 2020 as a re/insurance partner designed for the future. Driven by relentless curiosity, our team of trusted experts provides a fresh perspective on our clients’ risks. We add creativity to tech-enabled efficiency and robust analytics to address risks others avoid. Vantage provides specialty re/insurance through its operating subsidiaries in Bermuda and the U.S. Vantage has approximately 365 colleagues in both the United States and Bermuda. We have offices in Chicago, IL, Norwalk, CT, Arlington, VA, Boston, MA, New York, NY, Atlanta, GA and Hamilton, Bermuda. Additionally, we are a highly geographically diverse workforce with colleagues based in 35 states and counting. We fully support work flexibility including remote and hybrid work arrangements. About the role: We are seeking talented and intellectually curious data engineers with a passion for the “R” in R&D. You will be part of the Data, Analytics & Technology team reporting to the Data Engineering Lead. The base salary expectation for this role is between $120,000 and $160,000. Actual base salary for the selected candidate may be higher commensurate with candidate experience and expectations. Additionally, Vantage offers its colleagues performance-based bonus potential, strong health & welfare benefits, retirement plans with company match, competitive time off plans, a highly flexible work environment, and much more. Responsibilities & Accountabilities: - Research and evaluate data sources to solve business problems and recommend optimal integration approaches. - Design and implement data pipelines supporting analytics and data science initiatives, including end-to-end ETL/ELT workflows. - Build robust, maintainable, and reusable data infrastructure following medallion architecture patterns (bronze/silver/gold layers). - Architect solutions for complex data challenges, including CDC pipelines, dimensional modeling, and master data management integration. - Collaborate with cross-functional stakeholders to identify, build, test, deploy, and monitor data assets and analytics solutions. Ideal Candidate Profile: - Bachelor’s Degree in Computer Science or related technical field or equivalent professional experience. - 5+ years building production data pipelines using enterprise data integration tools. - Expert-level SQL and relational database design (optimization, indexing, schema design). - Hands-on experience with Medallion architecture and lakehouse platforms (Snowflake, Databricks, etc.). - Advanced proficiency in dbt (macros, materialization strategies, incremental models). - Mastery of Python for data engineering tasks. - Experience with version control (Git), CI/CD workflows, and infrastructure-as-code. - Proven ability to work with structured, semi-structured, and unstructured data. - Strong code review and repository management skills. - Experience in high-functioning Agile environments. - Growth mindset with ability to rapidly adopt new tools and domain knowledge. Preferred Qualifications: - Experience with Debezium or similar CDC tools. - Familiarity with Azure Event Hubs, Kafka, or streaming message brokers. - Experience with Snowflake Iceberg Catalog integration. - Property, geospatial, or image data processing experience. - Financial services or insurance domain knowledge. Our Vantage Values Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities. Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined. We’re Better Together – collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally. Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself. Make A Difference – focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Principal Data Engineer, you will work collaboratively with a diverse team of experts to solve complex business challenges using innovative thinking and modern technology. We will count on you to prioritize, self-direct and execute at velocity. Along the way, you will get to: - Design and develop cutting-edge enterprise data solutions in a fast-paced environment - Lead discussions with clients and recommend technical solutions for business cases - Design and code modern solutions to tough data challenges leveraging the cloud - Lead and collaborate with sharp, passionate teammates, provide feedback on others’ work, and encourage innovation and best practices internally and externally Qualifications - Strong communication skills with technical and non-technical stakeholders/clients, including active listening, critical thinking, presentation skills, coaching, empathy, dependability, and creativity - Experience talking to people in various industries and corporate levels including C-Levels, Engineers, Business Intelligence Analysis, Business Unit Leaders, Field workers - Extensive experience in cloud technologies, data and data analytics development including: - 6+ years of Cloud/Data Analytics including Microsoft Fabric and Microsoft Data Services including OneLake, Azure Data Warehouse, SQL DB, SQL VMs, Purview, Azure Databricks, Azure Data Factory, Azure Synapse, Databricks including Unity Catalog, Delta Lake - 6+ years of Visualization tools including extensive Power BI experience (having PBI to Fabric migration knowledge), Tableau, Qlik, and SSRS a plus - Machine Learning including predictive/prescriptive analytics with R, Python - Development and Scripting including CI/CD methodology, using PowerShell, Azure Automations services, Terraform, GitHub Actions Benefits - Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year - Core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities