Shamrock Food Company is seeking a skilled Data Engineer to join our enterprise AI & Analytics team in Phoenix, AZ. In this role, you’ll design and optimize modern data pipelines, dimensional models, and semantic layers that power AI-driven analytics solutions across the enterprise. This hybrid position provides the opportunity to collaborate with senior architects, BI developers, and data scientists while gaining hands-on experience with cutting-edge cloud technologies.
- Company: Shamrock Food Company
- Location: Phoenix, AZ (Hybrid)
- Req #: DATAE010092
- Type: Full-Time
- Salary: Up to $150k/ yr (Expected)
- Build, optimize, and maintain data pipelines using Azure Databricks, DBT, and Azure services.
- Design and implement dimensional models (star, snowflake schemas) for analytics and AI use cases.
- Develop and manage semantic models for Power BI to support self-service analytics.
- Collaborate with AI Solutions Architects and data scientists to prepare data for ML workflows.
- Ensure data solutions meet enterprise standards for performance, reliability, security, and governance.
- Document data flows, models, and designs for operational excellence.
- Troubleshoot, optimize, and improve existing pipelines and solutions.
Required:
- 2–5 years of experience in data engineering, BI development, or related roles.
- Hands-on experience with Azure Databricks (Spark, Delta Lake).
- Proficiency in SQL and Python for data pipeline development.
- Experience with Power BI semantic models and star schema design.
- Familiarity with Azure Data Lake, Data Factory, and Synapse Analytics.
- Ability to translate business requirements into scalable data solutions.
Preferred:
- Azure certifications (e.g., Data Engineer Associate, Databricks Data Engineer).
- Experience with DBT, MLOps, or ML pipeline integration.
- Knowledge of Azure DevOps CI/CD pipelines.
- Familiarity with Google Cloud (GCP).
- Collaborate with senior architects on AI, ML, and advanced analytics projects.
- Build expertise with Databricks, Azure, and cloud-based data platforms.
- Clear career growth path toward senior engineering and solution architecture roles.
- Hybrid and flexible work environment with an innovative, collaborative culture.
