Senior Data Engineer

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We’re a family-owned company with a 90+ year legacy, that’s consistently recognized as a Glassdoor “Best Places to Work.” We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready-to-drink beverages. We’re home to the #1 wine and spirits brands in the U.S.

- Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America.

View our Corporate Values and Mission Statement here.

As a Senior Data Engineer, you’ll help transform complex data into scalable, reliable solutions that enable teams across GALLO to make better decisions. You’ll develop, maintain, and optimize data pipelines and data products across a multiplatform ecosystem, working with large and complex datasets to support analytical, operational, and business needs.

You’ll build ETL processes, develop data models and scalable storage solutions, and strengthen data infrastructure using technologies spanning SQL, No

SQL, cloud services, streaming platforms, and containerized workloads. You’ll also use artificial intelligence, AI assistants, and agentic tools to improve the quality, speed, scalability, and effectiveness of your work while supporting standardized, version-controlled workflows through Git and CI/CD practices.

Collaboration will be central to your role. You’ll partner with Executive, Product, Data, and Design teams to solve technical challenges, identify opportunities for automation, and improve how data moves throughout the organization. You’ll perform root cause analysis, recognize patterns in data, recommend solutions, and help influence enterprise data practices. As a senior contributor, you’ll also provide direction to junior team members while bringing the technical judgment and initiative needed to move complex work forward.

• Master’s Degree in Computer Science, Information Systems, MIS, Mathematics, Systems Engineering, Data Sciences, Economics, or Physics plus 2 years experience working in a product or platform development environment; OR Bachelor’s Degree in Computer Science, Information Systems, MIS, Mathematics, Systems Engineering, or Data Sciences, Economics, or Physics plus 4 years of experience working in a product or platform development environment reflecting increasing levels of responsibility;
  
  OR Bachelor’s Degree plus 5 years of experience working in a product or platform development environment reflecting increasing levels of responsibility; OR High School Diploma or State-issued equivalency certificate plus 9 years of experience working in a product or platform development environment reflecting increasing levels of responsibility.
• 3 years of programming in python and java.
• Familiar with at least 2 of the following database technologies:
  Oracle, Hana, MsSQL, Postgres, Neo4J, Red Shift.
• Ability to write ANSI SQL queries against at least 1 database.
• Experience with relational SQL and No
  
  SQL databases, including Postgres and DynamoDB.
• Experience with data pipeline and workflow management tools:
  Airflow, Stream Sets, Data Stage, Automic, SAP PI/PO, SAP BODS, Mule Soft etc.
• Experience with stream-processing systems:
  Kafka, Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages:
  Python, Java, C++, Scala, etc.
• Proficient with No
  
  SQL (mongo, dynamoDB) and streaming data technologies (Kafka).
• Experience creating containerized workloads.
• Experience performing root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
• Experience building processes that support data transformation, workload management, data structures, dependency and metadata.
• Required…