Data Engineer

Remote South Carolina, Remote South Carolina, SC

Greystar

At Greystar, we offer apartments in desirable locations near shopping, dining, and workplaces. Browse through our wide selection of apartments for rent and find your dream home today.

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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

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 Data Engineer, 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

KEY RESPONSIBILITES:

  • 100% hands-on development – Azure SQL, Cosmos DB, DataBricks: develop and unit test database code, including but not limited to T-SQL, stored procedures, functions and views.
  • Own/Maintain the DataBricks data ingestion & output for our Microsoft Customer Insights CDP platform • Create and maintain database structures.
  • Participate in the design of databases, using first, second or third normalized form as needed to support business requirements.
  • Create, deploy, and maintain ADF pipelines, adhering to Greystar’s standards and documented best practices.
  • Monitor database performance, identify bottlenecks and implement improvements to ensure scalable and reliable database operations in a production environment.
  • Perform analysis of complex data and document findings.
  • Prepare data for prescriptive and predictive modeling.
  • Combine raw data from different external sources and build and support complex ingestions.
  • Collaborate with application developers/data analysts who will be consuming the data.
  • Play a direct role in the maintenance, technical support, documentation, and administration of databases.
  • Ensure standards are followed by participating in code reviews
  • You are a thought leader who will bring up new ideas or methods and deliver awesome code.

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 and Synapse stored procedures.
  • 3+ Years of Experience with Cosmos DB.
  • 2+ Years of Experience with DataBricks.
  • Minimum of 3 years of relevant experience working with Azure Data Factory.
  • 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.
  • Understanding / Experience with Python; additional knowledge of parallel processing frameworks like MapReduce, Spark, Scala is a plus.
  • 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:

  • Bachelor’s degree in computer science, information technology, business management information systems, or equivalent experience. Advanced degree preferred.
  • Azure certification is nice to have, but not required.
  • Knowledge of Agile software development process.
  • Excellent problem-solving skills and experience.
  • Strong communication and 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.

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.

#LI-RF1

Additional Compensation:

  • Corporate Positions: In addition to the base salary, this role may be eligible to participate in an 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 10 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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  2  0
Category: Engineering Jobs

Tags: Agile Architecture Azure CI/CD Computer Science Cosmos DB Databricks Data governance Data pipelines Data Warehousing Engineering ETL Pipelines Power BI Predictive modeling Python Scala Scrum Spark SQL T-SQL Unstructured data

Perks/benefits: 401(k) matching Career development Competitive pay Fertility benefits Flex vacation Health care Insurance Medical leave Paid sabbatical Parental leave Salary bonus Startup environment Team events

Regions: Remote/Anywhere North America
Country: United States

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