Build a Career That Builds Your Future — with PulteGroup!
Welcome to PulteGroup where we believe in building more than just homes—we believe in building inspired employees, meaningful careers, and a legacy of excellence. If you’re looking for work that moves you, a team that values your ideas, and a company that brings you pride, you’ve come to the right place.
As one of the nation’s largest and most respected homebuilders, PulteGroup offers opportunities to grow within a Fortune 500 company that’s consistently recognized as a Fortune 100 Best Company to Work For and a certified Great Place to Work. We’re driven by the bold purpose of Building Incredible Places for People to Live Their Dreams.
For over 70 years, we’ve been building more than homes—we’ve been building trust, innovation, and a culture where every team member is empowered to thrive. Join a company that champions inclusion, celebrates diversity, and supports your personal and professional journey.
Headquartered in vibrant Atlanta, Georgia, and operating in over 45 markets nationwide, we’re proud to build homes through our trusted family of brands—including Innovative Construction Group, Centex, Pulte Homes, Del Webb, DiVosta Homes, American West, and John Wieland Homes and Neighborhoods, Pulte Mortgage, PGP Title, Pulte Insurance Agency —all united under the PulteGroup name.
Apply now and discover a career where your contributions are valued, your growth is supported, and your work makes a lasting impact
Job Summary:
The Senior Data Engineer is responsible for developing, testing, debugging, and documenting complex database objects and pipelines, and analyzing, tracking, and resolving data processing related issues. Proactively monitor database performance, work to optimize it, and ensure security compliance. May lead team initiatives and participate in IT projects. Has a knowledge of advanced concepts, practices, and procedures. Demonstrates a keen understanding of both IT and the business we support. Responsible for leading the resolution of problems through analyzing possible solutions utilizing standard procedures. Consider the current and future business environment in the design and upgrade of tools and processes supporting the data platform. Brings enterprise level perspective to designs and solutions. Serves as a technical subject matter expert.

Primary Job Responsibilities:

• Take ownership of data engineering projects for specific data domains, ensuring data quality, accessibility, and usability.
• Lead the design and implementation of data solutions for both OLTP and OLAP systems.
• Drive the adoption of best practices in data engineering, data modeling, and promote a data-driven culture within the organization.
• Design and implement complex data pipelines and ETL processes to support business objectives.
• Optimize data storage solutions for performance, scalability, and cost-efficiency.
• Lead cross-functional projects and initiatives to improve data processes and systems.
• Maintain documentation for data processes, models, and tools to ensure clarity and consistency.
• Champion DataOps methodologies to enhance data delivery, quality, and collaboration across teams.
• Collaborate with data scientists and analysts to develop and implement data solutions that meet business needs.
• Collaborate with data analysts and other stakeholders to understand data requirements and implement solutions.
• Ensure data quality and integrity by performing regular data validation and cleaning tasks.
• Administer and manage data storage solutions, ensuring they are optimized for performance and scalability.
• Develop and maintain data models, reports, and dashboards using Microsoft Power BI, Excel, and other tools within the Microsoft technology stack.
• Provide on-call third level support for priority issues, including after-hours, weekends, and holidays. Troubleshoot production issues and ensure timely resolution or escalation. Serve as escalation point.
• Mentor and support junior data engineers in their professional development.
• Perform other duties as assigned.

Career Level (P3)

Organizational Impact:

• Works to achieve day-to-day objectives with significant impact on operational results within area of work.
• Works independently under limited supervision.
• May be responsible for entire projects or processes within area.
• Typically, responsible for coaching and reviewing the work of lower level professionals.

Leadership & Talent Management:

• May be responsible for providing guidance, coaching and training to other employees within functional area.
• May manage projects at this level, requiring responsibility for the delegation of work and the review of others’ work product.

Knowledge & Experience:

• Requires broad knowledge of area typically obtained through advanced education combined with experience. May have practical knowledge of program or project management.
• Typically requires a university degree or equivalent experience and minimum 4-6 years of prior relevant experience.

Required Skills:

• Expertise in designing and implementing data solutions for both OLTP and OLAP systems.
• Experience with real-time data processing technologies such as Azure Stream Analytics and Azure Event Hubs.
• Proficiency in big data technologies like Azure HDInsight and Azure Databricks.
• Strong understanding of data architecture and data modeling principles.
• Experience with data pipeline orchestration and workflow automation using tools like Azure Data Factory.
• Ability to lead cross-functional projects and initiatives.
• Strong leadership and project management skills.
• Excellent communication and collaboration skills.
• Ability to drive the adoption of DataOps practices and promote a data-driven culture.

Required Licensing, Registration and/or Certifications:

• Not applicable

Physical Requirements:

• May require travel

PulteGroup, Inc. and its affiliates do not accept unsolicited resumes from individual recruiters or third party recruiting agencies (collectively, “Recruiters”) in response to job postings. If Recruiters nevertheless submit one or more unsolicited resumes to any employee at PulteGroup, Inc. or its affiliates without a valid written agreement in place for this position, it will be deemed the sole property of PulteGroup, Inc. and its affiliates. No fee will be owing or paid to Recruiters who submit unsolicited candidates, in the event the candidate is hired by PulteGroup, Inc. or its affiliates as a result of the referral, without a written agreement between PulteGroup, Inc. and through any means other than via our Applicant Tracking System.
We are an
equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We will provide a reasonable accommodation to a qualified applicant with a disability that will enable the individual to have an equal opportunity to participate in the application process and to be considered for a job.
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Pulte Homes of Minnesota is an equal employment opportunity/affirmative action employer.
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• Take ownership of data engineering projects for specific data domains, ensuring data quality, accessibility, and usability.
• Lead the design and implementation of data solutions for both OLTP and OLAP systems.
• Drive the adoption of best practices in data engineering, data modeling, and promote a data-driven culture within the organization.
• Design and implement complex data pipelines and ETL processes to support business objectives.
• Optimize data storage solutions for performance, scalability, and cost-efficiency.
• Lead cross-functional projects and initiatives to improve data processes and systems.
• Maintain documentation for data processes, models, and tools to ensure clarity and consistency.
• Champion DataOps methodologies to enhance data delivery, quality, and collaboration across teams.
• Collaborate with data scientists and analysts to develop and implement data solutions that meet business needs.
• Collaborate with data analysts and other stakeholders to understand data requirements and implement solutions.
• Ensure data quality and integrity by performing regular data validation and cleaning tasks.
• Administer and manage data storage solutions, ensuring they are optimized for performance and scalability.
• Develop and maintain data models, reports, and dashboards using Microsoft Power BI, Excel, and other tools within the Microsoft technology stack.
• Provide on-call third level support for priority issues, including after-hours, weekends, and holidays. Troubleshoot production issues and ensure timely resolution or escalation. Serve as escalation point.
• Mentor and support junior data engineers in their professional development.
• Perform other duties as assigned