Senior Data Engineer

+ Explore Opportunities + Information Technology + Houston, TX + Senior Data Engineer Houston, TX Senior Data Engineer Apply Now The Job was shared succesfully Share Job Apply Now Share Job Job Description David Weekley Homes is seeking a Senior Data Engineer to support the development, maintenance, optimization, and use of our data infrastructure. Weu2019re 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 3u20135 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

Created: 2025-12-05