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. We value diversity and are committed to creating an inclusive environment for all employees. At Vantage, we strive to build and foster a culture where inclusiveness is ingrained, not just an initiative. All colleagues support building an inclusive environment where employees feel empowered to share their experiences and ideas to foster an environment which encourages you to "Be You!" We are proud to be an equal opportunity employer. In connection with our business, Vantage may collect and process your personal data. For further information regarding how we use this data, please see our online privacy notice at Vantage Recruiting Privacy Notice. ADA Notice: All applications shall be submitted online through our applicant tracking system. Candidates needing reasonable disability accommodation to enable them to apply and/or fully participate in the selection process are encouraged to email recruiting@vantagerisk.com with the subject Candidate ADA Request detailing their needs. Please note the above email box is for candidates needing reasonable disability accommodation only, emails submitting resumes will not be considered and those seeking application status updates will go unanswered.

• Design, develop, and maintain performant and scalable data pipelines to ingest, transform, and load data from various source systems into the Celonis platform. • Create, integrate, maintain, and optimize the SQL Server DataWarehouse pipelines. • Utilize Celonis Data Integration to build and optimize complex data models, ensuring data accuracy and consistency. • Collaborate with business analysts and process owners to translate business requirements into technical data specifications for process mining analyses. • Write and optimize SQL queries and Celonis's Process Query Language (PQL) to support the development of Celonis analyses and dashboards. • Develop Python scripts to perform data cleansing, complex transformations, and automation tasks within the data pipeline. • Implement and monitor audit processes to ensure data integrity between source systems, SQL Server, and the Celonis platform. • Provide ongoing technical support for the Celonis platform and assist end-users with data-related technical issues. • Adhere to best practices for data governance, access rights management, and platform security.

Telecommunting: Remote Travel Requirement: Less than 10% Clearance Level Must Be Able to Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: BI Full 6C (T4) Job Description Own the opportunity as a Senior Cloud Data Engineer and help ensure the mission is never interrupted. At GDIT, we deliver clarity with our cloud solutions and provide meaningful work. Your work will be an important part of transforming our clients for the modern age and help them face any obstacle. At GDIT, people are our differentiator. As a Senior Cloud Data Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Senior Cloud Data Engineer joining our dynamic team to work in a fast-paced environment with engineering, migration, and operations. We’re looking for a self-starter, to work both as part of the team and on individual assignments, in an environment of customer mission delivery, integrity, and communications. We’re looking to fill this role with someone who currently has the cloud experience, certifications, and skills to execute in large environments, is flexible and enjoys tackling challenges, and desires to join a large team that is building and sustaining a large, multi-tenant cloud platform/enterprise and migrating/expanding/automating the enterprise. If this sounds like you and you'd love to learn and grow with a team while delivering program milestones, then we’d love to hear from you! HOW A SENIOR CLOUD DATA ENGINEER WILL MAKE AN IMPACT: - Designs, architects, deploys and maintains cloud data solutions - Works hands-on with Snowflake implementing logical and physical data models - Maintains the integrity and security of systems - Maintains all documentation - Supports and develops automation - Has exposure to Bash, PowerShell, Python - Maintains/enhances knowledge of related AWS cloud services - Work across teams, and external customer groups to develop strategy, design solutions, and advise implementation teams during infrastructure buildouts - Deal with escalations. Make assessments, recommendations or provide solutions to resolve issues - Compose and maintain standard operating procedures and work instructions, knowledge articles, etc. WHAT YOU’LL NEED TO SUCCEED: Required Education: Technical Training, Certification(s) or Degree Required Experience: - Experience with Cloud Computing - AWS - 5+ years experience required Required Technical Skills: - Hands-on experience with Snowflake - Ability to implement logical and physical data models in Snowflake - Experience developing in cloud-based data platforms - Proficiency with ETL/ELT frameworks - Linux / Windows Server Required Skills and Abilities: Excellent communication skills with demonstrated experience delivering presentations to diverse audiences at various levels of an organization Preferred Skills and Experience: - 7+ years experience strongly preferred, with 3+ years of experience at the Senior level - Demonstrable experience leveraging AI/ML as a force multiplier and/or have implemented AI/ML solutions will be strongly preferred - Strong proficiency with SQL and data transformation techniques - Familiarity with Agile / Scrum delivery environments Preferred Certification: Snowflake SnowPro Core Security Clearance Level: None Location: Remote ​GDIT IS YOUR PLACE: - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Rest and recharge with paid vacation and holidays Salary Information The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Information Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. About Our Work We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at https://gdit.com/tc Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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.