Azure Data Engineer; Pulte Mortgage

Overview

Providing lending services to help our customers achieve their dream of home ownership.

At Pulte Mortgage, we’re more than a lender—we’re a team driven by purpose. Since 1972, we’ve helped over 700,000 families finance their dream homes through innovative lending solutions and a commitment to doing the right thing. As a wholly owned subsidiary of Pulte Group, we offer a people-first culture rooted in collaboration, integrity, and daily positivity. Join us in Denver, CO, and be part of a company recognized by Fortune and Great Place to Work for building meaningful careers, supporting community impact, and creating a workplace where you can thrive.

Apply now and discover a career where your contributions are valued, your growth is supported, and your work makes a lasting impact.

This position will be located in Denver, CO or Texas.

This position is hybrid requiring 1 day per week in office.

If you are driven to build quality software, have worked in both cloud and on-prem environments and enjoy the challenge of understanding and modernizing an ecosystem of data, we want to meet you.

Pulte Mortgage is seeking an experienced, passionate, results-oriented, hands-on data engineer with experience transforming organizations into a more data-driven culture and environment to join our information systems department. Our vision is to elevate the power of data by providing robust data quality, data management, data modeling, and data visualization solutions to empower our people to make informed, data-driven decisions.

We are looking for a seasoned software engineer with a passion for data who has hands-on experience building and debugging SQL Server databases, data pipelines, data transformations, and data acquisition processes. The ideal candidate will play a pivotal role in shaping the future of our data analytics, business intelligence and data governance initiatives by leveraging data, visualization and data platform technologies while partnering with cross-functional teams and departments.

The Software Engineer will be responsible for developing data pipelines, coding ETL/ELT solutions, using SQL, Python, or PySpark to investigate data, and working with the Data Product team to deliver user stories as part of the company’s data roadmap. The ideal candidate will also bring a passion for, and possible experience with, AI, Machine Learning (ML) and other agent processes to infuse our data into decision-driven analytics.

This position requires a data-driven individual with strong technical skills, as well as the ability to communicate effectively with team members and stakeholders.

• Design new and improve existing data infrastructures, including the Lakehouse, data warehouses, dataflows, data pipelines, semantic models, and reports.
• Migrate large-scale data stores from the existing on-premises SQL Server infrastructure to the new Microsoft Fabric-based infrastructure.
• Classify and organize data based on identified taxonomy structures.
• Work with our enterprise and data architects to ensure that the data is of high quality and meets the organization’s requirements.
• Optimize data processing by using modern data engineering tools such as notebooks, dataflows, data pipelines, semantic models, and reports.
• Provide technical expertise during the design, planning, development, implementation, and testing of digital solutions, often custom developed and integrating new technologies.
• Understand technological systems and strategic vision and help facilitate the technical portion to produce integrated end-to-end digital solution options.
• Experiment and find ways to use AI and ML to improve our processes or deliver business impact.
• Collaborate with data scientists to product ionize ML models and integrate them into data pipelines.
• Participate in cross-project planning and release planning activities.
• Write and maintain concise documentation about our development process and major systems.
• Build scalable, maintainable, easy-to-use software following our development best practices and requirements laid out by the architect and the development team.
• Collaborate with product owners and…