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.