Senior Data Engineer III: Build Scalable Cloud Pipelines

Simplot; Boise (ID); In loco; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

Simplot is seeking a Data Engineer III to apply intermediate to advanced data engineering principles, building scalable cloud data pipelines and models using SQL, Python, PySpark, and Databricks.

You will contribute to data platforms across Azure services, collaborate with analytics teams, and translate business needs into robust technical solutions while ensuring reliability and performance. This role requires office presence at the Boise HQ.

Competenze

• 5+ years data engineering experience.
• Azure Databricks, PySpark, and SQL modeling expertise.
• Excellent communication and problem-solving skills.

Mansioni

• Participates as a member of a data engineering team responsible for cloud data platforms and pipelines.
• Conducts analysis of technical and data requirements to support solution design and implementation.
• Designs, builds, and maintains data pipelines and transformations using SQL, Python, and PySpark.
• Develops and supports data models and curated datasets for analytics and downstream consumption.
• Completes data engineering activities independently or with guidance, following standards.
• Leads or contributes to technical design reviews and outcome reviews.
• Designs, prepares, and executes automated test plans for data pipelines and transformations.
• Ensures reliability, scalability, and performance through maintenance and optimization.
• Collaborates with analytics and technical teammates to align data solutions with business needs.
• Communicates requirements and technical concepts clearly to non-technical stakeholders.

Conoscenze

Data engineering

SQL

Python programming

Analytical thinking

Team collaboration

Formazione

Bachelor's Degree in CS/Eng/IS

Strumenti

Azure Databricks

Azure DevOps

Azure SQL

PySpark

Descrizione del lavoro

Simplot is seeking a Data Engineer III to apply intermediate to advanced data engineering principles, building scalable cloud data pipelines and models using SQL, Python, PySpark, and Databricks.

You will contribute to data platforms across Azure services, collaborate with analytics teams, and translate business needs into robust technical solutions while ensuring reliability and performance. This role requires office presence at the Boise HQ.