Senior Data Engineer

D.R. Horton; Arlington (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental and Vision

401(K)

Employee Stock Purchase Plan

Flex Spending Accounts

Life & Disability Insurance

Holidays & Time Off

Job summary

D.R. Horton in Arlington, TX is seeking a Senior Data Engineer to join our onsite team. You will architect and implement end-to-end data pipelines supporting trusted analytics, AI, and digital solutions.

The role emphasizes data modeling, governance, and scalable data platforms. You will mentor junior engineers, collaborate with analytics, BI, and data science teams, and drive reliable data products end-to-end.

Qualifications

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

Responsibilities

• Architect and implement end-to-end data pipelines ingesting and serving data from multiple sources.
• Design data models across domains with naming conventions and standards.
• Lead initiatives addressing complex data challenges.
• Implement monitoring, alerting, and automated data quality checks for reliability.
• Define and enforce CI/CD practices for data tooling and pipelines.
• Conduct technical design reviews and evaluate options for cost and performance.
• Collaborate with analytics leadership, BI, and data science to meet latency and accuracy requirements.
• Mentor Data Engineer 1 and Data Engineer 2 through code reviews and guidance.
• Partner with IT and source-system teams on data contracts and API integrations.
• Research emerging data technologies and present actionable recommendations.

Skills

Data architecture

Data modeling

Mentor junior engineers

CI/CD for data

Cross-team collaboration

Education

Bachelors in CS/IS/Math

Job description

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.