Senior Data Engineer

D.R. Horton is seeking a Senior Data Engineer to help build and evolve the modern data foundation that supports trusted analytics, AI, and digital solutions. This onsite role in Arlington, TX focuses on designing and delivering reliable end-to-end data pipelines, reusable data products, automated quality controls, and engineering practices that improve enterprise data usability and enable scale.

Key Responsibilities

• Architect and build end-to-end data pipelines to ingest, transform, and serve data from diverse sources including construction management platforms, financial systems, and external market data feeds.
• Design data models across multiple business domains, including naming conventions, modeling standards, and documentation practices.
• Lead cross-domain initiatives to tackle complex, ambiguous data challenges.
• Detect and address systemic data quality issues by implementing monitoring frameworks, alerting mechanisms, and automated validation routines to improve pipeline reliability.
• Define and uphold engineering standards across the data codebase, including branching strategies, testing expectations, and CI/CD practices.
• Conduct technical design reviews for new data initiatives, evaluating architectural options and recommending approaches based on cost, performance, and long-term maintainability.
• Collaborate with analytics leadership, BI developers, and data science practitioners to ensure data products meet downstream consumption needs for latency, granularity, and accuracy.
• Mentor Data Engineer 1 and Data Engineer 2 through code review, pair programming, and direct technical guidance.
• Partner with IT and source system teams to manage data contracts, API integrations, and communication of schema changes.
• Research and evaluate emerging data technologies and platforms, and present findings and recommendations to analytics leadership.
• Conduct all business in a professional and ethical manner to serve customers and increase goodwill and company profit.
• Ability to travel overnight.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field (or equivalent education and experience).
• 5–8 years of professional data engineering experience, including substantial experience designing data architecture and leading technical delivery of pipeline and modeling projects from inception through production.
• Proven 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 for 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.

Benefits

• 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

Location: Arlington, TX (onsite)

Schedule: Full-time

Posting date: Oct 28, 2026, 8:31:02 PM