Senior Data Engineer

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

What you’ll do

• Architect and implement end-to-end data pipelines that ingest, transform, and serve data from construction management platforms, financial systems, and external market data feeds.
• Design data models across multiple business domains, setting naming conventions, modeling standards, and documentation practices.
• Lead initiatives spanning business domains to resolve complex and ambiguous data challenges.
• Detect and resolve systemic data quality issues by building monitoring frameworks, alerting mechanisms, and automated validation routines that improve pipeline reliability.
• Define and maintain code standards, branching strategies, testing expectations, and CI/CD practices for a consistent and maintainable codebase.
• Drive 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 downstream data products meet consumption needs, including latency, granularity, and accuracy expectations.
• Mentor Data Engineer 1 and Data Engineer 2 through code review, pair programming, and direct technical guidance while continuing to deliver on assigned work.
• Partner with IT and source system teams on data contracts, API integrations, and schema change communication.
• Research and evaluate emerging data technologies and platforms, then present findings and actionable recommendations to analytics leadership.
• Conduct all business professionally and ethically to serve customers and increase goodwill and company profit.
• Ability to travel overnight.

What you bring

• 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 designing data architecture and leading technical delivery of pipeline and modeling projects from inception through production.
• Proven ability to lead complex technical projects end-to-end, coordinating engineers and stakeholders through design and production deployment.
• Ability to guide and develop junior engineers while maintaining personal delivery commitments.

Benefits and support

• 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

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.