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Senior Databricks Data Engineer

R0112581 City Office Charleston Remote Texas | Charleston, South Carolina

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Greystar is looking for dedicated and hard-working individuals who want to help us continue to be the best as what we do. Today, we are the largest rental housing operator and developer in the US and one of the largest global investment management companies, delivering industry-leading services to investors, clients, and residents. We offer unrivaled professional development and career growth opportunities to our team members and look forward to welcoming you to Greystar, where our people are what make us the Global Leader in Rental Housing.

Job Responsibilities

About Greystar:
As the Global Leader in Rental Housing, Greystar provides end-to-end property management services for residential housing, apartment homes, furnished corporate housing, and mixed-use properties incorporating retail space.

About the role:
We are seeking a Senior Data Engineer skilled in Databricks, Python, Scala, Azure Synapse and Azure Data Factory to join our team of data engineers within Greystar Information Technology. This team serves Greystar by ingesting data from multiple sources, making it available to internal stakeholders, and by interfacing with and exchanging data between a variety of internal and external systems. You will be responsible for building and enhancing our Enterprise Data Platform (EDP) which is built within the Azure cloud and utilizes modern processes and technologies such as Databricks, Synapse, Azure Data Factory (ADF), ADLS Gen2 Data Lake, Azure DevOps and CI/CD pipelines. You will develop, deploy and troubleshoot complex data ingestion pipelines and processes. Your curious mind and attention to detail will be an asset, as will your extensive knowledge and experience in the data engineering space.


How you will make in impact:

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
  • Collaborate with data engineers, data consumers, and other team members to come up with simple, functional, and elegant solutions that balance the data needs across the organization
  • Solve complex data problems to deliver insights that helps the organization achieve its goals
  • Create data products that will be used throughout the organization
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytic solutions
  • Develop and deliver documentation on data engineering capabilities, standards, and processes; participate in coaching, mentoring, design reviews and code reviews
  • Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Deliver awesome code

Technical Qualifications:

  • 7+ years relevant and progressive data engineering experience
  • Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored procedures
  • Hands-on experience working with data pipelines using a variety of source and target locations (e.g., Databricks, Synapse, SQL Server, Data Lake, file-based, SQL and No-SQL database)
  • Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processes
  • 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 involving structured and unstructured data
  • Thorough knowledge of Synapse and SQL Server including T-SQL and stored procedures
  • Experience working with and supporting cross-functional teams in a dynamic environment
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Knowledge and understanding of Boomi is a plus

Additional Qualifications and Experience:

  • Excellent problem-solving skills and experience
  • Effective communication skills
  • Strong collaboration skills
  • "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
  • Experience with data ingestion and engineering, specifically involving large data volumes
  • Knowledge of CI/CD release pipelines is a plus
  • Understanding of Python and knowledge of parallel processing frameworks like MapReduce, Spark, Scala
  • Knowledge of the Agile development process

Working Conditions:

  • Remote
  • 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


  • Bachelor’s degree in computer science, information technology, business management information systems, or equivalent experience.


Compensation is based on geographic location and individual pay decisions will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

Corporate Positions: In addition to the base salary, may be eligible for an annual performance bonus that is based on individual and company performance.

Onsite Property Positions: In addition to the base salary, may be eligible for a discretionary weekly, monthly and/or quarterly bonus based on budget.

Greystar seeks to attract, recruit, advance and retain top talent. Greystar’s compensation strategy is tailored to appropriately reward the skillset and experience that a team member will bring to the organization.

Robust Benefits Offered for Full-time Team Members:

  • Medical, Dental, Vision, Life

  • 401(k) with Company Match (eligibility required) 

  • Short-term & Long-term Disability

  • Critical Illness/Accident/Hospital Indemnity Plans

  • Employee Assistance Program

  • Generous Paid Time Off: Time off benefits include vacation, holidays, personal days, and sick time and parental leave

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.

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Success Profile

What makes a successful Greystar team member? Check out the top traits we’re looking for and see if you have the right mix.

  • Professional
  • Risk-Taker
  • Detail-oriented
  • Collaborative
  • Strategic
  • Communicator



Health insurance (including company-paid opportunities) is offered, along with competitive dental and vision insurance plan options

Retirement Planning

Flexible Spending Accounts and Employer-matched 401(k) plans are offered

Paid Time Off

Full-time team members receive generous paid time off – including your birthday! – as well as paid sick leave, personal days, and company holidays

Paid Parental Leave

Maternal and paternal paid leave is available for the birth or adoption of a child

Professional Development

Ongoing support is available for career advancement opportunities in addition to corporate training programs

Employee Assistance

Experienced counselors are available 24/7 for confidential assistance to listen and help you find solutions at no cost to you

Note: Outlined benefits may vary by international region.

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