Data Engineer

We are looking for a Data Engineer to design, build, and maintain data pipelines supporting core analytics and Data Science/ML initiatives. This on-site role in Dallas offers significant growth opportunities in a fast-paced, startup-like environment, with the chance to work on projects involving CI/CD pipelines and data security. The company is a real estate investment firm focused on operations, asset management, construction, property acquisition and sales, and brokerage services.

Key Responsibilities:

• Develop and optimize data pipelines for analytics and machine learning.
• Manage data storage solutions using AWS and Snowflake.
• Build integrations with third-party systems (e.g., Salesforce, Workday).
• Write and optimize SQL queries and Python scripts for data manipulation.
• Implement data security best practices and ensure data integrity.
• Support the development of business intelligence dashboards and reporting tools.
• Continuously learn and adopt new tools and techniques as needed.

Key Requirements:

• 4+ years of experience in Data Engineering.
• Proficiency with AWS, Snowflake, SQL, Python, and ETL tools (e.g., Pentaho).
• Familiarity with tools like Workato, Looker, and Selenium is a plus.
• Experience working in a fast-paced, startup-like environment with a willingness to learn new technologies.
• Knowledge of data security best practices and experience with CI/CD pipelines is a plus.

Benefits:

• Full health benefits (90/10 medical).
• Unlimited PTO.
• $1,000 annual travel stipend (after 1 year).
• 10-20% off rent if renting from company-managed properties.