Senior Data Engineer – Cloud Lakehouse (Databricks, PySpark)

Simplot; Boise (ID); On-site; USD 85,000 - 110,000; Full time

Job summary

Simplot is seeking a Data Engineer III at their Boise, Idaho location. This role focuses on applying advanced data engineering principles to build and maintain data solutions using SQL, PySpark, and cloud-native platforms. Responsibilities include collaborating with teams to design data pipelines and supporting analytics. The ideal candidate holds a bachelor's degree and has over 5 years of experience in data engineering. Strong communication skills are essential, along with proficiency in data modeling and CI/CD practices.

Qualifications

• 5+ years of related experience and/or training in data engineering.
• Advanced understanding of data engineering concepts to address complex challenges.
• Strong proficiency in SQL for data transformation, optimization, and modeling.

Responsibilities

• Participates as a member of a data engineering team responsible for cloud data platforms.
• Conducts thorough analysis of requirements to support solution design and implementation.
• Designs, builds, and maintains data pipelines and transformations using SQL, Python, and PySpark.
• Collaborates effectively with business, analytics, and technical teams.

Skills

SQL for data transformation

Python for data engineering workflows

PySpark

Data modeling

CI/CD practices

Strong verbal and written communication

Education

Bachelor's Degree in Computer Science, Engineering, or related field

Tools

Databricks

Azure Data Lake

Job description

Simplot is seeking a Data Engineer III at their Boise, Idaho location. This role focuses on applying advanced data engineering principles to build and maintain data solutions using SQL, PySpark, and cloud-native platforms. Responsibilities include collaborating with teams to design data pipelines and supporting analytics. The ideal candidate holds a bachelor's degree and has over 5 years of experience in data engineering. Strong communication skills are essential, along with proficiency in data modeling and CI/CD practices.