Senior Data Engineer — Pipelines, AI & Data Products

D.R. Horton; Florida; Presencial; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental and Vision

401(K)

Employee Stock Purchase Plan

Flex Spending Accounts

Life & Disability Insurance

Vacation, Sick, Personal Time and Hols

Descripción de la vacante

D.R. Horton, Inc. is seeking a Senior Data Engineer to build modern data foundations powering analytics, AI, and digital solutions. You will design reliable pipelines, reusable data products, and automated quality controls while promoting scalable engineering patterns.

The role requires hands-on delivery, ownership, and collaboration with business partners to ensure data products meet latency and accuracy needs across domains. Travel overnight may be required.

Formación

• Bachelor's degree in CS/IS/Math or equivalent education and experience.
• 5–8 years of professional data engineering experience leading data projects.
• Ability to guide junior engineers and deliver on commitments.
• Knowledge of cloud data platform capabilities and security practices.

Responsabilidades

• Architect end-to-end data pipelines ingesting data from diverse sources.
• Lead design reviews and enforce coding standards and CI/CD practices.
• Collaborate with analytics leadership and data scientists to shape data products.
• Mentor Data Engineer 1 and Data Engineer 2 team members.

Conocimientos

Data engineering

Data modeling

Leadership

CI/CD

Communication

Educación

Bachelor's degree in Computer Science

Master's degree preferred

Herramientas

Python

Cloud platforms

SQL

ETL/ELT tooling

Descripción del empleo

D.R. Horton, Inc. is seeking a Senior Data Engineer to build modern data foundations powering analytics, AI, and digital solutions. You will design reliable pipelines, reusable data products, and automated quality controls while promoting scalable engineering patterns.

The role requires hands-on delivery, ownership, and collaboration with business partners to ensure data products meet latency and accuracy needs across domains. Travel overnight may be required.