Senior Data Engineer

Corporate; Arlington (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental and Vision

Employee Stock Purchase Plan

Flex Spending Accounts

Life & Disability Insurance

Vacation, Sick, Personal Time and 会社休日

Job summary

D.R. Horton, Inc. is seeking a Senior Data Engineer to build the modern data foundation powering trusted analytics, AI, and digital solutions.

You will design end-to-end pipelines, create reusable data products, implement automated quality controls, and establish scalable engineering patterns for enterprise data. The role demands a hands-on engineer who takes ownership, collaborates with analytics leadership, and mentors junior engineers while delivering reliable, scalable data solutions for the

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Mathematics, or related field.
• 5–8 years of professional data engineering experience designing data architecture and leading technical delivery of data pipeline and modeling projects.
• Ability to guide and develop junior engineers while maintaining personal delivery commitments on assigned work.

Responsibilities

• Architect and implement end-to-end data pipelines feeding diverse source systems and external market data.
• Design comprehensive data models across multiple business domains with clear naming conventions and documentation.
• Lead initiatives spanning multiple domains to tackle complex data challenges.
• Identify and resolve data quality issues; implement monitoring and automated validation.
• Define and enforce code standards, branching, testing, and CI/CD practices.
• Lead technical design reviews for data initiatives and assess cost/performance trade-offs.
• Collaborate with analytics leadership and data science to ensure data products meet latency and accuracy requirements.
• Mentor Data Engineer 1 and Data Engineer 2 through code reviews and pairing.
• Manage data contracts, API integrations, and schema change communications with IT and source teams.
• Research emerging data technologies and present concrete recommendations.

Skills

Data pipelines

Data modeling

CI/CD practices

Mentor juniors

Collaborative leadership

Education

Bachelor's degree in Computer Science/Information Systems/Mathematics

Tools

Cloud platforms

Job description

Job Description

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.

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

• 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

Qualifications

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 stakeholdersAbility 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 joina winning team with a Fortune 500 company! We are growing fast and arelooking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including:

• Medical, Dental and Vision
• 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