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Data Engineer Jobs in Caldwell, ID (NOW HIRING)

Data Engineer III

Boise, ID

$109K - $130K/yr

The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role ...

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role ...

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role ...

Data Engineer III

Boise, ID

$109K - $130K/yr

The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role ...

Data Engineer III

Boise, ID · On-site

$99K - $118K/yr

Responsibilities : • Participates as a member of a data engineering team; mentors and guides other engineers. • Performs analysis of technical requirements of high complexity. • Designs and ...

Master Data Engineer III

Boise, ID · On-site

$120 - $180/hr

Summary The Master Data Engineer III serves a critical role in designing, developing, and supporting enterprise data solutions that enable reliable, scalable, and high-quality data across the ...

SummaryThe Master Data Engineer III serves a critical role in designing, developing, and supporting enterprise data solutions that enable reliable, scalable, and high-quality data across the ...

Summary The Master Data Engineer III serves a critical role in designing, developing, and supporting enterprise data solutions that enable reliable, scalable, and high-quality data across the ...

Summary The Master Data Engineer III serves a critical role in designing, developing, and supporting enterprise data solutions that enable reliable, scalable, and high-quality data across the ...

Comerit is searching for a Manager of Data Engineering and Analytics to lead our client's growing team of data and analytics engineers. You will be responsible for defining and managing a long-term ...

Data & AI Platform Engineer

Boise, ID

$109K - $130K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

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Showing results 1-20

Data Engineer information

See Caldwell, ID salary details

$40.1K

$116.8K

$159.8K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Caldwell, ID is $116,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $123,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What cities near Caldwell, ID are hiring for Data Engineer jobs?

Cities near Caldwell, ID with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Caldwell, ID as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $116,771 per year, or $56.1 per hour.

$109K - $130K/yr

Full-time

Re-posted yesterday


J.R. Simplot rating

7.1

Company rating: 7.1 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

215th of 442 rated food and drinks producers


Job description

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

What J.R. Simplot employees say

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Hours and flexibility

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About Simplot

Sourced by ZipRecruiter

The J.R. Simplot Company is a diverse, privately held organization, with roots firmly planted in agriculture and agriculture-related businesses. The J.R. Simplot Company is a true farm-to-table company with operations that touch every aspect of agriculture, including seed production, farming and ranching, plant sciences, fertilizer manufacturing, food processing, commercial product development, and distribution.

Industry

Agriculture

Company size

10,000+ Employees

Headquarters location

Boise, ID, US

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