Senior Data Engineer

David Weekley Homes

United States

United States

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About

David Weekley Homes is seeking a Senior Data Engineer to support the development, maintenance, optimization, and use of our data infrastructure. Were looking for a collaborative, well-rounded professional with expertise in building scalable data solutions and enabling data-driven insights. As a key member of our growing data team, you will have significant opportunities to shape our data platform, drive innovation, and support advanced analytics and AI/ML initiatives. We require 35 years of experience in data engineering, with a strong preference for expertise in Snowflake. Experience with SQL Server, Azure-based cloud environments, and integrating data across custom in-house systems and third-party SaaS applications is highly valued. Primary Responsibilities: Data Architecture and Modeling: Design, build, and maintain scalable data models, pipelines, and integrations to ensure data reliability and availability. Data Pipeline Development: Develop, optimize, and automate pipelines in Snowflake on Azure; maintain and enhance existing SSIS-based ETL processes where needed. Data Warehouse Management: Manage and optimize Snowflake environments, ensuring performance, scalability, and cost efficiency. Snowflake Advanced Capabilities: Leverage the full suite of Snowflake tools (e.g., semantic modeling, data sharing, Snowpark, and integration with AI/ML platforms) to support advanced analytics, predictive modeling, and enterprise reporting. Cloud & Infrastructure Support: Deploy, monitor, and maintain data systems in Azure, including integrations with Data Factory, Data Lake, and related services. Application Integration: Develop and maintain data flows across custom-built applications and SaaS platforms to ensure data consistency and usability. Data Governance & Quality: Establish and enforce standards for data quality, security, compliance, and lineage; support development and use of comprehensive semantic models. Cross-Team Collaboration: Partner with business stakeholders, analysts, and data scientists to deliver accessible, reliable data for decision-making. Innovation & Best Practices: Research and recommend adoption of emerging tools (e.g., dbt, Airflow) to strengthen our data ecosystem.
Qualifications
5+ years of experience in data engineering or a closely related field. Expertise with Snowflake (design, development, and performance optimization). Expertise in data modeling, governance, and quality best practices. Hands-on experience with Azure services (Data Factory, Data Lake, Synapse, etc.). Advanced proficiency in SQL, Python, and Power BI. Familiarity with SQL Server/SSIS for developing and maintaining ETL processes. Experience integrating custom applications and third-party SaaS platforms into enterprise data environments. Excellent communication and collaboration skills across technical and business teams.
Additional Information
Work Location:
This position is based at our Houston headquarters, near I-10/Katy Freeway & 610 W. Loop N. Fwy. Important Note: We do not offer sponsorship for work Visas. What We Offer: Come build your future with our winning team, recognized by Fortune Magazine as one of the "100 Best Companies to Work For" 19 times! David Weekley Homes builds in 19 markets across the U.S. and is one of the largest private home builders in America. We offer an excellent benefits package that includes: Health Insurance - Medical, Dental and Vision 401k and discretionary 8% match Employee Stock Ownership Plan Profit Sharing New Home Discount for Team Member and Family College Scholarship Program Community Outreach And more!
David Weekley Homes is an Equal Opportunity Employer , and all qualified applicants will receive consideration for employment without regard to any status protected by state or federal law. Note to Job Seekers:
No telephone calls or walk-ins please. Interviews are by appointment only. Your resume will be reviewed and qualified candidates may be contacted in the event of a potential job match, or if further information is needed. #J-18808-Ljbffr

United States

Languages

English

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