Senior Data Engineer

D.R. Horton is seeking a Senior Data Engineer based in Arlington, TX for an onsite role. In this position, you will help build a modern data foundation that supports trusted analytics, AI, and digital solutions by delivering reliable pipelines, reusable data products, and automated quality controls.

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, establishing naming conventions, modeling standards, and documentation practices.
• Lead initiatives across domains to address complex and ambiguous data challenges.
• Identify and resolve systemic data quality issues by implementing monitoring, alerting, and automated validation routines to improve pipeline reliability.
• Define and enforce code standards, branching strategies, testing expectations, and CI/CD practices for consistency and maintainability.
• Conduct 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, BI developers, and data science practitioners to ensure data products meet downstream requirements 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 on 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 support company goodwill and profit.
• Be able to travel overnight.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field (or equivalent education and experience) is required.
• 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 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.

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

This is a full-time corporate role in TX-Arlington. Job posting date: Oct 28, 2026.