Job Summary:
Anza Mortgage Insurance Corporation is a fintech startup using technology and analytics to drive growth & innovation within the US mortgage market. As a ML Data Engineer, you will be responsible for automating key business processes and developing data pipelines to support analytics and modeling workflows.
Responsibilities:
• Implement and maintain scalable and reliable ETL/ELT data pipelines to support analytics and modeling workflows.
• Build and maintain critical data infrastructure on Databricks.
• Help build a greenfield automated system that uses AI/ML to extract and analyze data from large mortgage document packets.
• Work with the Senior Data Engineer, facilitate the Data Science team’s goals, and follow engineering practices of the Technology team.
• Improve engineering skills as well as knowledge of our market and business (mortgage and housing finance).
Qualifications:
Required:
• Bachelor’s degree in computer science, Engineering, Data Science, or related fields.
• 0 to 2 years of experience.
• Proficiency in Python and SQL.
• A solid understanding of cloud platforms (e.g. AWS, Azure).
• Orchestration tools (e.g. Airflow, dbt).
• Data modeling.
Preferred:
• Master’s degree in computer science, engineering, data science, or related fields.
• 1 to 2 Years of experience.
• Proficiency in Apache Spark.
• Software engineering and CI/CD practices.
• Experience with data analysis in a business setting.
Company:
Anza Mortgage Insurance Corporation is empowering homeownership through credit risk protection. Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.