Senior Data Engineer
D.R. Horton Arlington, Texas, United States
Construction · 5,001-10,000 employees
About the role
The Senior Data Engineer will architect and implement end-to-end data pipelines while establishing standards for data modeling and code quality. This role also involves leading technical design reviews and mentoring junior team members to ensure data products meet business requirements.
What they look for
Requirements
Candidates must have a bachelor's degree in a relevant field and 5–8 years of professional data engineering experience. Demonstrated ability to lead complex technical projects and coordinate work across stakeholders is required.
Benefits
Full description
D.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 www.drhorton.com for more information.
D.R. Horton, Inc. is currently looking for a Senior Data Engineer. The right candidate will lead the design and implementation of complex, production-grade data infrastructure that enables analytics and reporting. This role serves as a technical authority within the Data Analytics team, setting standards for pipeline development, data modeling, and code quality.
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 feeds
- Design comprehensive data models for multiple business domains, establishing naming conventions, modeling standards, and documentation practices
- Lead initiatives that span multiple business domains and solves complex, ambiguous data challenges
- Identify and resolve systemic data quality issues; implement monitoring frameworks, alerting mechanisms, and automated validation routines that improve overall pipeline reliability
- Define and enforce code standards, branching strategies, testing expectations, and CI/CD practices, ensuring consistency and maintainability across the codebase
- Lead technical design reviews for new data initiatives, evaluating architectural options and recommending solutions based on cost, performance, and long-term maintainability
- Collaborate with analytics leadership, business intelligence developers, and data science practitioners to ensure data products meet downstream consumption requirements, including latency, granularity, and accuracy expectations
- Mentor Data Engineer 1 and Data Engineer 2 team members through code review, pair programming, and direct technical guidance
- Partner with IT and source system teams to manage data contracts, API integrations, and schema change communications
- Research and evaluate emerging data technologies and platforms, presenting findings and concrete recommendations to analytics leadership
- Conduct all business in a professional and ethical manner to serve customers and increase the goodwill and profit of the company
- Ability to travel overnight
Education and/or Experience
- Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field required or equivalent education and experience
- 5–8 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 production
- Demonstrated ability to lead complex technical projects from design through production deployment, coordinating work across engineers and stakeholders
- Ability to guide and develop junior engineers while maintaining personal delivery commitments on assigned work
Preferred Qualifications
- Master's degree preferred
- Knowledge of cloud data platform capabilities, pricing structures, and architectural trade-offs
- Understanding of data governance frameworks, PII handling requirements, and data security practices
- Knowledge of software engineering best practices as applied to data systems
Come 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 Vision
- 401(K)
- Employee Stock Purchase Plan
- Flex Spending Accounts
- Life & Disability Insurance
- Vacation, Sick, Personal Time and Company Holidays
- Multiple Voluntary and Company provided Benefits
Build YOUR future with D.R. Horton, America’s Builder. #WeBuildPeopleToo
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