Job Description

DescriptionD.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly traded company on the New York Stock Exchange. It is engaged in the construction and sale of high-quality homes designed principally for the entry-level and first time move-up markets. The Company also provides mortgage financing and title services for homebuyers through its mortgage and title subsidiaries. Please visit our website at for more information.As the nation's largest homebuilder by volume, D.R. Horton is transforming how it uses data, AI, and digital solutions for the next generation of homebuilding, and we pair the reach of a national enterprise with a culture built on local ownership, practical innovation, and deep business partnerships. Our teams focus on solutions that work in the field and deliver real results, not technology for its own sake. In this role, you'll have a critical opportunity to shape modern capabilities that will influence how the company operates for years to come.D.R. Horton, Inc. is currently looking for a Senior Data Engineer. The Senior Data Engineer will help build the modern data foundation that powers trusted analytics, AI, and digital solutions. This role will design and deliver reliable pipelines, reusable data products, automated quality controls, and engineering patterns that make enterprise data easier to use and scale. The ideal candidate is a hands-on engineer who takes ownership, enjoys solving complex data problems, and wants to help establish stronger engineering practices for the future. Success in this role means pipelines and data products that business partners trust and reuse, delivered with automated quality and minimal production firefighting.Essential Duties and Responsibilities include the following. Other duties may be assigned.Architect and implement end-to-end data pipelines that ingest, transform, and serve data from diverse source systems, construction management platforms, financial systems, and external market data feedsDesign comprehensive data models for multiple business domains, establishing naming conventions, modeling standards, and documentation practicesLead initiatives that span multiple business domains and solves complex, ambiguous data challengesIdentify and resolve systemic data quality issues; implement monitoring frameworks, alerting mechanisms, and automated validation routines that improve overall pipeline reliabilityDefine and enforce code standards, branching strategies, testing expectations, and CI/CD practices, ensuring consistency and maintainability across the codebaseLead technical design reviews for new data initiatives, evaluating architectural options and recommending solutions based on cost, performance, and long-term maintainabilityCollaborate with analytics leadership, business intelligence developers, and data science practitioners to ensure data products meet downstream consumption requirements, including latency, granularity, and accuracy expectationsMentor Data Engineer 1 and Data Engineer 2 team members through code review, pair programming, and direct technical guidancePartner with IT and source system teams to manage data contracts, API integrations, and schema change communicationsResearch and evaluate emerging data technologies and platforms, presenting findings and concrete recommendations to analytics leadershipConduct all business in a professional and ethical manner to serve customers and increase the goodwill and profit of the companyAbility to travel overnightQualificationsEducation and/or ExperienceBachelor's degree in Computer Science, Information Systems, Mathematics, or a related field required or equivalent education and experience5–8 years of professional data engineering experience, including substantial experience designing data architecture and leading technical delivery of data pipeline and modeling projects from inception through productionDemonstrated ability to lead complex technical projects from design through production deployment, coordinating work across engineers and stakeholdersAbility to guide and develop junior engineers while maintaining personal delivery commitments on assigned workPreferred QualificationsMaster's degree preferredKnowledge of cloud data platform capabilities, pricing structures, and architectural trade-offsUnderstanding of data governance frameworks, PII handling requirements, and data security practicesKnowledge of software engineering best practices as applied to data systemsCome join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including:Medical, Dental and Vision401(K)Employee Stock Purchase PlanFlex Spending AccountsLife & Disability InsuranceVacation, Sick, Personal Time and Company HolidaysMultiple Voluntary and Company provided BenefitsBuild YOUR future with D.R. Horton, America’s Builder.#WeBuildPeopleTooJob Field: ExecutiveOrganization: CorporateSchedule: Full-time

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