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

Greystarâ™s D2AI team is responsible for the platforms, processes, and practices that power AI across the organization. This role goes beyond traditional deliveryâ”your decisions influence how data is transformed into intelligent, scalable solutions used by teams companyâ‘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 AIâ‘enabled tools in dayâ‘toâ‘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 (2â“5 min) demonstrating how you have used AI tools in your engineering workflow â” 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.
We are looking for a skilled Data Engineer to join our engineering team, focusing on leveraging Azure SQL, Cosmos DB & DataBricks to meet our growing data demands. As a Sr. data engineer in the Apex organization, you will be part of the Scrum team, developing data capabilities powering customer-facing applications used by thousands of residents. You will play a critical role in supporting the data needs of the engineering team as you develop and optimize the backend for customer-facing real estate applications.

JOB DESCRIPTION

What You Will Do

• 100% hands-on development â“ Azure SQL, Cosmos DB, Databricks, and Azure OpenAI: develop and unit test database and AI pipeline code, including T-SQL, stored procedures, functions, views, and LLM prompt orchestration layers.
• Own and maintain the Databricks data ingestion & output pipelines for end programs such as greystar.com and Microsoft Customer Insights CDP platform, including Delta Lake table optimization, schema evolution, and medallion architecture (Bronze/Silver/Gold) design.
• Architect and maintain AI-ready data structures â” clean, well-typed, and optimized for feature engineering and model consumption.
• Participate in the design of databases and feature stores, applying normalization or denormalization as appropriate to support both operational and ML workloads.
• Create, deploy, and maintain ADF and Databricks Workflows pipelines, adhering to Greystar's standards and documented best practices.
• Perform analysis of complex data and document findings, leveraging AI-assisted tooling and notebooks to surface insights faster.
• Prepare and curate data for prescriptive and predictive modeling â” including feature extraction, data labeling pipelines, and training/test dataset construction.
• Combine raw data from disparate external sources; build and support complex ingestions including real-time streaming (Event Hub) and batch patterns.
• Collaborate closely with data scientists, ML engineers, and application developers consuming the data â” ensuring outputs are well-documented, versioned, and model-ready.
• Integrate and support AI/ML model outputs back into data products â” scoring pipelines, inference result storage, and feedback loops for model monitoring.
• Play a direct role in the maintenance, technical support, documentation, and administration of databases and Databricks environments, including Unity Catalog governance.
• Ensure standards are followed by participating in code reviews â” including review of AI prompt logic, notebook structure, and pipeline configuration.
• Act as a thought leader: bring forward new ideas in AI, data engineering, and LLM integration â” and then build them.

Technical Qualifications

• 6+ years relevant and progressive data engineering experience
• Deep Technical knowledge and experience in Microsoft Azure architecture, including Azure PaaS databases, Synapse, ADF pipelines, Azure functions, Event Grids etc.
• 3+ Years of Experience with Cosmos DB
• 3+ Years of Experience with Data Bricks
• Hands-on skills working with data pipelines using SQL and No-SQL databases
• Minimum of 1 year of relevant experience working with Azure Data Lakes Gen 2.
• Experience with Power Platform / Power BI
• Experience in engineering practices such as code refactoring, design patterns, CI/CD, and highly scalable data applications
• Experience developing batch ETL pipelines; real-time pipelines are a plus
• Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing, structured and unstructured data
• Good Experience with Python, machine learning frameworks and statistics.
• Experience / Familiarity with D365 Customer Insights platform / Dataverse is a plus

Technical Pre-screening test and technical interview will be required for all candidates

Overall Qualifications

• Knowledge of Agile software development process

• Excellent problem-solving skills and experience
• Strong communication and collaboration skills
• âSelf-starter❠attitude and the ability to make decisions with minimal guidance from others
• Innovative and passionate about your work and the work of your teammates
• Ability to comprehend and analyze operational systems and ask appropriate questions to determine how to improve, migrate or modify the solution to meet business needs

Working Conditions:

• Occasional time outside of core hours depending on priorities and deliverables
• Some travel (with advance notice) may be required for training, team meetings or other events

Required Licenses or Certifications:

• Databricks or other Certifications are nice to have but not required.

Education:

• Bachelorâ™s Degree in computer science, information technology, business management, information systems, or equivalent experience. Advanced degree preferred

What the Right Candidate will Enjoy!

• 100% Remote flexibility!
• Competitive pay, benefits, and overall compensation packages.
• The chance to be part of a technology team for a thriving organization that prioritizes accountability, respect, and operational excellence!
• The opportunity to join a thriving, highly visible organization during its technology transformation!

#LI-BB1

The salary range for this position is $150,000 - $170,000 USD Annually.

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 25, 2026

This date may be subject to change due to evolving business needs.