We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in Commercial real estate and data engineering and be proficient in utilizing Snowflake, Azure, Python, H2O, scikit-learn, and TensorFlow. The primary responsibility of this role will be to build data pipelines and ensure the efficiency and accuracy of data processing. Comp Base: 170-200K + Bonus + Benefits
Responsibilities:
- Design, develop, and deploy scalable and robust data pipelines using Snowflake and Azure technologies.
- Collaborate with data scientists and analysts to understand their requirements and translate them into technical solutions.
- Implement machine learning models and algorithms using Python, H2O, scikit-learn, and TensorFlow.
- Optimize and maintain data engineering processes to ensure high-performance and reliability.
- Monitor and troubleshoot data pipelines to identify and resolve any issues in a timely manner.
- Stay up-to-date with the latest industry trends and technologies, and be willing to learn and incorporate new tools and techniques into the existing data engineering infrastructure.
- Collaborate with cross-functional teams to drive data initiatives and deliver high-quality data solutions.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years of experience as a software engineer, data engineer, or ML engineer.
- Strong proficiency in Snowflake, Azure, and Python for data engineering tasks.
- Experience with H2O, scikit-learn, and TensorFlow for building machine learning models.
- Familiarity with Airflow or similar workflow management tools.
- Knowledge of data warehousing concepts and best practices.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and meet project deadlines.
- Experience with financial data, building end-to-end systems driving investment decisions
- Experience with Snowflake and ETL tools
Salary and Benefits: The salary for this position is in the range of 170K-200K, depending on the candidate's experience and qualifications. Additionally, a performance-based bonus structure will be provided. We offer a comprehensive benefits package, including health insurance, retirement plans, paid time off, and opportunities for professional growth and development.