Senior Data Engineer

David Weekley Homes-posted 2 months ago
Full-time • Senior
Houston, TX
1,001-5,000 employees
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David Weekley Homes is seeking a Senior Data Engineer to support the development, maintenance, optimization, and use of our data infrastructure. We’re 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.

  • Design, build, and maintain scalable data models, pipelines, and integrations to ensure data reliability and availability.
  • Develop, optimize, and automate pipelines in Snowflake on Azure; maintain and enhance existing SSIS-based ETL processes where needed.
  • Manage and optimize Snowflake environments, ensuring performance, scalability, and cost efficiency.
  • 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.
  • Deploy, monitor, and maintain data systems in Azure, including integrations with Data Factory, Data Lake, and related services.
  • Develop and maintain data flows across custom-built applications and SaaS platforms to ensure data consistency and usability.
  • Establish and enforce standards for data quality, security, compliance, and lineage; support development and use of comprehensive semantic models.
  • Partner with business stakeholders, analysts, and data scientists to deliver accessible, reliable data for decision-making.
  • Research and recommend adoption of emerging tools (e.g., dbt, Airflow) to strengthen our data ecosystem.
  • 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.
  • Health Insurance - Medical, Dental and Vision
  • 401k and discretionary 8% match
  • Employee Stock Ownership Plan
  • Profit Sharing
  • Vacation, Paid Holidays, plus PTO
  • New Home Discount for Team Member and Family
  • College Scholarship Program
  • Community Outreach
  • Sabbaticals
  • And more!
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