Sr Data Engineer - Databricks

ABOUT GREYSTAR

Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing, logistics, and life sciences sectors. Headquartered in Charleston, South Carolina, Greystar manages and operates more than $315 billion of real estate in 250 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, manages more than 1,000,000 units/beds globally, and has a robust institutional investment management platform comprised of more than $78 billion of assets under management, including over $36 billion of development assets. 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

The Sr. Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and systems. This role requires deep knowledge of data engineering, programming, and coding using PySpark and Object Oriented technique. The Sr Data Engineer will work on the data to ingest, transform and load into a dimensional model to be able to run any type of Analytics. The ideal candidate will have a strong understanding of data modeling, data quality, data pipelining, and other areas related to data engineering.

JOB DESCRIPTION

KEY RESPONSIBILITIES:

• Design, develop, and maintain scalable and highly optimized data pipelines using PySpark to support data integration, transformation, and storage.
• Design, develop and maintain data models based on the business and functional requirements for optimal reporting and analytics. Ensure data quality, consistency, and accuracy within the design and development of the data pipelines.
• Design and develop data security solution on the data models based on the legal, compliance and business needs.
• Collaborate with the DataOps team to maintain and execute the data pipelines to ensure accuracy and timely delivery of the data to the business.
• Collaborate with cross-functional teams, including BI/Analytics, data scientists, business analysts, product owners and business stakeholders, to understand data requirements and deliver solutions.
• Ensure data quality and integrity through the implementation of data validation and monitoring processes.
• Troubleshoot and resolve data-related issues in collaboration with the DataOps team and act as the L3 support for any data product delivery.
• Stay current with industry trends and advancements in data engineering and apply best practices to improve data management processes. Mentor other team members to continuously upskill the team of Data Engineers.

BASIC KNOWLEDGE & QUALIFICATIONS:

• Bachelor's or advanced degree in Computer Science or Computer Engineering.
• 5+ years of experience in data engineering, with a focus on designing and developing data pipelines and systems.
• Proficiency in programming and coding with PySpark, Python, and SQL.
• Expertise in Databricks and other databases.
• Strong understanding of data modeling, data quality, and data governance practices.
• Experience with data integration, ETL processes, and data warehousing.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

SPECIALIZED SKILLS:

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of MLOps and DataOps practices.
• Familiarity with Agile software development methodologies.
• Experience with data visualization tools and techniques.

TRAVEL / PHYSICAL DEMANDS:

• Team members work in an office or remote work environment. No special physical demands are required.
• Rare or occasional travel may be required to attend business meetings, training programs, or other situations necessary for the accomplishment of some or all of the daily responsibilities of this position.

#LI-BB1

#LI-Remote

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.