Senior Data Engineer

Forestar Group

Arlington (TX)

On-site

USD 120,000 - 180,000

Full time

4 days ago

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Benefits offered by this job

Medical, Dental and Vision

401(K)

Employee Stock Purchase Plan

Flex Spending Accounts

Life & Disability Insurance

Vacation, Sick, Personal Time and H.C.

Voluntary and Company providedBenefits

Job summary

D.R. Horton, Inc. is seeking a Senior Data Engineer to build a modern data foundation powering analytics, AI, and digital solutions. You will design reliable pipelines, reusable data products, and automated quality controls to enable trusted data across the enterprise.

The role requires hands-on ownership, problem-solving skills, and a track record of delivering scalable data systems. Travel may be required as part of partnerships and project delivery.

Qualifications

Bachelor's degree or equivalent in CS/IS/Math or related field.
5–8 years of professional data engineering experience.
Proven ability to lead complex data projects from design to production.
Ability to mentor junior engineers and coordinate across teams.

Responsibilities

Architect and implement end-to-end data pipelines ingesting diverse data sources.
Design comprehensive data models for multiple business domains.
Lead cross-domain data initiatives and resolve complex data challenges.
Identify and resolve data quality issues; implement monitoring and automated validation.
Define and enforce code standards, CI/CD practices, and testing.
Lead technical design reviews and recommend scalable solutions.
Collaborate with analytics, BI, and data science teams to meet downstream requirements.
Mentor junior engineers and coordinate with IT and source-system teams.
Research emerging data technologies and present recommendations to leadership.

Skills

Data pipelines

Data architecture

CI/CD

Cloud data platforms

Data governance

Data security

Education

Bachelor's degree in Computer Science / Information Systems / Mathematics

Tools

Python

SQL

ETL tools

Job description

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly traded company on the New York Stock Exchange. It is engaged in the construction and sale of high-quality homes designed principally for the entry-level and first time move-up markets. The Company also provides mortgage financing and title services for homebuyers through its mortgage and title subsidiaries. Please visit our website at www.drhorton.com for more information.

As the nation's largest homebuilder by volume, D.R. Horton is transforming how it uses data, AI, and digital solutions for the next generation of homebuilding, and we pair the reach of a national enterprise with a culture built on local ownership, practical innovation, and deep business partnerships. Our teams focus on solutions that work in the field and deliver real results, not technology for its own sake. In this role, you'll have a critical opportunity to shape modern capabilities that will influence how the company operates for years to come.

D.R. Horton, Inc. is currently looking for a Senior Data Engineer. The Senior Data Engineer will help build the modern data foundation that powers trusted analytics, AI, and digital solutions. This role will design and deliver reliable pipelines, reusable data products, automated quality controls, and engineering patterns that make enterprise data easier to use and scale. The ideal candidate is a hands-on engineer who takes ownership, enjoys solving complex data problems, and wants to help establish stronger engineering practices for the future. Success in this role means pipelines and data products that business partners trust and reuse, delivered with automated quality and minimal production firefighting.

Essential Duties and Responsibilities

include the following. Other duties may be assigned.

Architect and implement end-to-end data pipelines that ingest, transform, and serve data from diverse source systems, construction management platforms, financial systems, and external market data feeds
Design comprehensive data models for multiple business domains, establishing naming conventions, modeling standards, and documentation practices
Lead initiatives that span multiple business domains and solves complex, ambiguous data challenges
Identify and resolve systemic data quality issues; implement monitoring frameworks, alerting mechanisms, and automated validation routines that improve overall pipeline reliability
Define and enforce code standards, branching strategies, testing expectations, and CI/CD practices, ensuring consistency and maintainability across the codebase
Lead 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, business intelligence developers, and data science practitioners to ensure data products meet downstream consumption requirements, including latency, granularity, and accuracy expectations
Mentor Data Engineer 1 and Data Engineer 2 team members through code review, pair programming, and direct technical guidance
Partner with IT and source system teams to manage 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 increase the goodwill and profit of the company
Ability to travel overnight

Education and/or Experience

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 substantial experience designing data architecture and leading technical delivery of data pipeline and modeling projects from inception through production
Demonstrated 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

Come join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including: