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Staff Data Engineer

Southern Glazer's Wine&SpiritsDallas, Texas🇺🇸United StatesPosted Sep 24, 2026

Why This Role Stands Out

This hybrid Staff Data Engineer role at Southern Glazer's Wine & Spirits offers a fantastic opportunity to design and optimize scalable data platforms, impacting critical business operations and mentoring a high-performing data team. You'll thrive here if you're a seasoned data engineer passionate about building robust data solutions, driving best practices, and contributing to a dynamic, people-first culture. Apply now to leverage your expertise in cloud data warehousing and data pipeline development within a leading industry company.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Dallas, Texas, United States
SQLScalaETLSnowflakeAirflowData PipelinePythonRedshiftdbt

Job Description

Southern Glazer's Wine & Spirits seeks a Staff Data Engineer to design and optimize scalable data platforms supporting wholesale distribution, sales, and supply chain analytics. You will own end-to-end data pipelines, from ingestion and modeling to performance tuning and governance across cloud data warehouses. Partner with analytics, IT, and business stakeholders to deliver trusted datasets, real-time reporting, and advanced analytics capabilities. Mentor other engineers, champion best practices, and help shape a people-first, high-performing data culture in a fast-paced environment.

Responsibilities

  • Design, build, and maintain scalable, secure data pipelines and integrations across enterprise systems
  • Develop and optimize cloud-based data warehouses, models, and schemas to support analytics and reporting
  • Implement data quality checks, monitoring, and governance to ensure reliable, trusted datasets
  • Collaborate with analytics, IT, and business teams to translate requirements into robust data solutions
  • Mentor and guide other data engineers, promoting best practices, standards, and code reviews
  • Support advanced analytics, BI, and data science initiatives with well-structured, performant data
  • Troubleshoot and resolve data issues, performance bottlenecks, and pipeline failures in a timely manner

Required Skills

  • Data pipeline design and development
  • SQL and performance tuning
  • Cloud data warehousing (e.g., Snowflake, Redshift, Big
  • Query)
  • ETL/ELT tools (e.g., dbt, Airflow, Informatica)
  • Data modeling (star, snowflake, normalized models)
  • Python or Scala programming
  • Data governance and data quality frameworks
  • Batch and streaming data processing
  • Version control and CI/CD for data projects
  • BI/reporting integration and data serving

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