Databricks Data Engineer Jobs in Idaho (NOW HIRING)

Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide.SummaryThis role applies intermediate to advanced data engineering principles, theories, and concepts to solve a range of data and platform challenges of varying complexity. The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role exercises professional judgment-from limited to independent decision-making-within defined standards and practices to determine and execute appropriate technical actions.The position develops practical expertise across data engineering domains including SQL-based transformation and modeling, cloud-native data platforms, and large-scale data processing using PySpark. The engineer acts as a collaborative and informed team member by providing technical analysis and recommendations in support of team and business outcomes, evaluating data engineering challenges and contributing to solution development through well-reasoned technical guidance.Why This Role is ExcitingWork with Leading Tools: Build and support scalable cloud data solutions using Databricks, PySpark, SQL, and Azure-based services.Expand Your Expertise: Grow skills in distributed data processing, data modeling, automation, and CI/CD within a modern lakehouse architecture.Join an Innovative Team: Be part of a data engineering team with a strong history of delivering robust, reliable, and scalable data solutions that support enterprise analytics and decision-making.Key ResponsibilitiesParticipates as a member of a data engineering team responsible for cloud data platforms and pipelinesMentors and guides other engineersConducts thorough analysis of technical and data requirements ranging from moderate to advanced complexity to support solution design and implementationDesigns, builds, and maintains data pipelines and transformations using SQL, Python, and PySparkDesigns, prepares and executes manual and/or automated test plans and scriptsLeverages advanced data engineering expertise to perform routine and complex maintenance, optimization, and production support, ensuring reliability, scalability, and performanceCollaborates effectively with business, analytics, and technical teams, leveraging strong interpersonal skills to drive alignment and trust in data solutionsDemonstrates technical leadership and exerts influence beyond immediate teamDesign, implement, and manage CI/CD pipelines for automated software deliveryBuild and maintain infrastructure as code (IaC) solutions using tools like TerraformSupport the release process by working closely with engineering teams to improve deployment speed and reliabilityMaintain documentation on new and existing implementations and practicesPresent and train the data engineering organization on innovations, best practices, and implementationsTypical EducationBachelor's degree (B.A. or B.S.) from 4 year college or university in Computer Science, Information Technology, Engineering, or related field.Relevant Experience5+ years data engineering experience and/or trainingAdvanced understanding of data engineering concepts with the ability to address complex data and platform challengesStrong proficiency in SQL for data transformation, optimization, and modelingProficient in one or more programming languages such as Python or .NETProficient in data application development using frameworks like Shiny, Streamlit, Gradle, and FastAPIExperience with Azure DevOps, Databricks, SQL, and Data ModelingExperience with infrastructure as code (IaC) tools (Terraform, Ansible, CloudFormation)Advanced understanding of version control systems (Git, SVN)Strong verbal and written communication skills, contributing to team design activities and documentationCan apply critical thinking skills to solving problems and a strong technical aptitudeExperience delivering data solutions through agile software development methodologiesPreferred (Nice to Have) QualificationsHands-on experience with PySpark and Databricks for building and operating scalable data solutionsProficiency in Python for data engineering workflows and automationExperience working in Azure-based data platforms such as Databricks, Azure Data Lake, and Azure DevOpsExperience delivering data solutions using Agile software development methodologiesExperience supporting or enabling analytics, BI, or data science workloadsOther InformationThis role reports to office at Simplot Headquarters in Boise, ID full-time.Job Requisition ID:26003Travel Required:Location(s):Simplot Headquarters - BoiseCountry:United States**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **#LI-MH1