Greystar Real Estate Partners

Senior Databricks Data Engineer

Greystar Real Estate Partners

Charleston, SC, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you a highly skilled data engineer with a passion for real estate? Do you have experience with Databricks and a strong understanding of data pipelines and architectures? If so, we have an exciting opportunity for you at Greystar Real Estate Partners. As a Senior Databricks Data Engineer, you will be responsible for designing and maintaining our data infrastructure and driving data-driven insights for our business. We are looking for a motivated and experienced individual who thrives in a fast-paced, collaborative environment. If you have a strong background in data engineering and a desire to make a meaningful impact in the real estate industry, we want to hear from you!

  1. Design and maintain data infrastructure: The Senior Databricks Data Engineer will be responsible for designing and maintaining the data infrastructure at Greystar Real Estate Partners. This includes developing data pipelines, data models, and data architectures to support the company's data needs.
  2. Drive data-driven insights: The Senior Databricks Data Engineer will play a critical role in driving data-driven insights for the business. This includes analyzing and interpreting data to identify trends, patterns, and opportunities for improvement.
  3. Collaborate with cross-functional teams: The Senior Databricks Data Engineer will work closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand their data needs and deliver solutions that meet their requirements.
  4. Optimize data processes: The Senior Databricks Data Engineer will continuously optimize data processes to ensure efficiency, accuracy, and scalability. This may involve automating manual processes, identifying and resolving data quality issues, and implementing best practices.
  5. Utilize Databricks: The Senior Databricks Data Engineer will have a strong understanding of Databricks and will use this platform to build and maintain data pipelines, perform data transformations, and manage data workflows.
  6. Stay up-to-date with industry trends: The Senior Databricks Data Engineer will stay informed about emerging technologies and industry trends in data engineering and real estate. This will enable them to bring innovative solutions to the table and drive continuous improvement within the company.
  7. Mentor junior team members: The Senior Databricks Data Engineer will provide guidance and mentorship to junior team members, helping them develop their skills and knowledge in data engineering and Databricks.
  8. Ensure data security and compliance: The Senior Databricks Data Engineer will be responsible for ensuring data security and compliance with relevant regulations and standards. This may involve implementing data encryption, access controls, and data privacy measures.
  9. Troubleshoot and resolve data issues: The Senior Databricks Data Engineer will be the go-to person
Where is this job?
This job is located at Charleston, SC, USA
Job Qualifications
  • Extensive Experience With Databricks: The Ideal Candidate For This Role Should Have A Minimum Of 5 Years Of Hands-On Experience Working With Databricks In A Professional Setting. They Should Be Well-Versed In All Aspects Of Databricks, Including Data Ingestion, Data Processing, And Data Analytics.

  • Strong Background In Data Engineering: The Senior Databricks Data Engineer Should Have A Strong Background In Data Engineering, With A Deep Understanding Of Data Modeling, Data Warehousing, And Etl Processes. They Should Also Have Experience With Sql, Python, And Other Relevant Programming Languages.

  • Familiarity With Real Estate Data: Greystar Real Estate Partners Is A Leading Real Estate Company, So The Ideal Candidate Should Have A Good Understanding Of Real Estate Data And How It Can Be Leveraged To Drive Business Decisions. Experience Working With Real Estate Data Systems And Databases Is A Plus.

  • Leadership Skills: As A Senior Role, The Senior Databricks Data Engineer Should Have Strong Leadership Skills And The Ability To Mentor And Guide Junior Team Members. They Should Also Be Able To Collaborate Effectively With Cross-Functional Teams And Manage Projects From Start To Finish.

  • Problem-Solving And Critical Thinking: The Ideal Candidate Should Have Excellent Problem-Solving And Critical Thinking Skills, With The Ability To Analyze Complex Data Sets And Identify Trends And Patterns. They Should Also Have A Keen Eye For Detail And A Passion For Finding Innovative Solutions To Data-Related Challenges.

Required Skills
  • Data Modeling

  • Data warehousing

  • Cloud Computing

  • Data integration

  • Database design

  • ETL Development

  • Python programming

  • Data architecture

  • Big Data Analytics

  • SQL querying

  • Data pipeline management

Soft Skills
  • Communication

  • Conflict Resolution

  • Decision Making

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Databricks Data Engineer in Charleston, SC, USA is $130,000 - $160,000 per year. This may vary depending on the specific company, level of experience, and other factors such as bonuses and benefits.

Additional Information
Greystar Real Estate Partners is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedMarch 6th, 2024
Apply BeforeSeptember 18th, 2025
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About Greystar Real Estate Partners

Greystar provides world-class service in the multifamily real estate business. Our innovative business model integrates the management, development and investment disciplines of the multifamily industry on international, regional and local levels.

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