Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Engineer with AI/ML at Pulte Mortgage focused on enhancing data-driven culture and infrastructure. Responsibilities include designing data pipelines, collaborating with data scientists, and ensuring data quality.
Responsibilities
- 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 productionize 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 end-users to understand any desired business functionality
- Regularly review application logs and dashboards to proactively monitor for defects, gauge performance, and troubleshoot production problems
- Contribute to Pulte Financial Services’ positive, trusting, inclusive culture and team-first environment
Requirements
- Minimum high school diploma or equivalent (GED)
- Bachelor's Degree in Computer Science or related field highly preferred
- 4+ years’ software engineering experience with Python, PySpark, Spark, or equivalent notebook programming
- 3+ years’ experience with XML, SQL, relational databases, and large data repositories
- Preferred experience building solutions within Microsoft's Azure cloud environment, specifically Microsoft Fabric; or willingness to learn and adopt new cloud-native data platforms
- Hands-on experience with data platform technologies such as Kafka, Hadoop, or Spark, but preferably those in the Azure platform such as HD Insight, Synapse, Data Lake, and Data Factory
- Excellent relational database skills in writing SQL, ETL processes, analyzing and optimizing query plans, and writing DDL scripts
- Passion for data and data quality
- Passion for building clean and testable code, creating unit tests, and focusing on code quality
- Extensive knowledge and experience with PowerBI or other widely used data solutions
- Highly self-motivated and directed with a strong sense of curiosity and drive to accomplish goals and support the data product team
- Experience with AI, ML, Agents and other automation tools is a huge plus
- Experience with ML frameworks (e.g., scikit-learn, TensorFlow, Azure ML) is a plus
- Experience with API and integration concepts
- Knowledge in data pipelines, CI/CD concepts, DataOps/MLOps, and general software deployment lifecycles for continuous integration, delivery, and monitoring
- Exceptional verbal and written communication and collaboration skills, with the ability to interact effectively with a wide range of technical and non-technical stakeholders
- Participant in Agile methodologies, particularly Scrum, and a track record of successful product delivery
Benefits
- Up to 9 paid company holidays per year
- Up to 6 days of sick pay
- Up to 17 PTO days per year (and up to 22 PTO days per year upon 10 or more years of service)
- Eligible to participate in the Company’s 401(k) Plan
- Medical, dental, and vision insurance coverage
- Company-paid disability, basic life insurance, and parental leave
- Voluntary insurance coverage options, including critical illness, accident, and hospital indemnity
- Employee Assistance Program
- Tuition reimbursement (as applicable)
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