Senior Data Engineer

About the role

• As a Data Engineer embedded in Anza MI’s Data Science practice, you will be a key enabler of our data science initiatives. The team uses a cloud-native technology stack to analyze mortgage-related data, train a suite of predictive models, and automate operational processes. Your primary responsibility will be to develop and maintain robust data pipelines and collaborate with data scientists to operationalize predictive models, optimizing their deployment, scalability, and performance.
• You will have the opportunity to develop across these skills dimensions through mentorship and your portfolio of work. In addition to working within the Data Science function, you will also be responsible for learning and adhering to the engineering best practices established by the wider Technology organization to ensure alignment and consistency. A Data Engineer will work autonomously and in partnership with more senior members of the team.

What you'll do

Qualifications

Proficiency in Python, SQL and Spark.

Cloud platforms (e.g. AWS, Databricks).

Experience with predictive modeling / machine learning in a business setting .

What we offer

We’re committed to creating an environment where our team members can thrive both professionally and personally. We currently offer :