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Data Science And Analytics Jobs in Meridian, ID (NOW HIRING)

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

Experience supporting or enabling analytics, BI, or data science workloads Other Information This role reports to office at Simplot Headquarters in Boise, ID full-time. Job Requisition ID : 26003 ...

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

Experience supporting or enabling analytics, BI, or data science workloads Other Information This role reports to office at Simplot Headquarters in Boise, ID full-time. Job Requisition ID : 26003 ...

As a Realtime Defect Analysis (RDA) Technology Development Engineer at Micron, you will learn how ... Ability to apply and use basic Data Science and Data Manipulation (scripting, coding, or ...

Bachelor's degree in Business Analytics, Information Systems, Data Analytics, Computer Science, Finance, or equivalent practical experience * 2+ years of experience in a data analyst, business ...

Artificial (AI) Engineer

Boise, ID · On-site

$99K - $118K/yr

... Science, Data Science, or a related field • 3+ years of experience in applied AI/ML roles • ... analytics environment is a plus Company : VELOX is an ROI-Focused digital marketing agency ...

Showing results 41-60

Data Science And Analytics information

See Meridian, ID salary details

$36.4K

$119K

$190.5K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Meridian, ID is $118,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $131,800.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

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

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities near Meridian, ID are hiring for Data Science And Analytics jobs?

Cities near Meridian, ID with the most Data Science And Analytics job openings:

Infographic showing various Data Science And Analytics job openings in Meridian, ID as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $118,986 per year, or $57.2 per hour.

$109K - $130K/yr

Full-time

Re-posted 2 days ago


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. 

Summary

This 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 Exciting
 

  • Work 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 Responsibilities
  • Participates as a member of a data engineering team responsible for cloud data platforms and pipelines
  • Mentors and guides other engineers
  • Conducts thorough analysis of technical and data requirements ranging from moderate to advanced complexity to support solution design and implementation
  • Designs, builds, and maintains data pipelines and transformations using SQL, Python, and PySpark
  • Designs, prepares and executes manual and/or automated test plans and scripts
  • Leverages advanced data engineering expertise to perform routine and complex maintenance, optimization, and production support, ensuring reliability, scalability, and performance
  • Collaborates effectively with business, analytics, and technical teams, leveraging strong interpersonal skills to drive alignment and trust in data solutions
  • Demonstrates technical leadership and exerts influence beyond immediate team
  • Design, implement, and manage CI/CD pipelines for automated software delivery
  • Build and maintain infrastructure as code (IaC) solutions using tools like Terraform
  • Support the release process by working closely with engineering teams to improve deployment speed and reliability
  • Maintain documentation on new and existing implementations and practices
  • Present and train the data engineering organization on innovations, best practices, and implementations
Typical Education

Bachelor's degree (B.A. or B.S.) from 4 year college or university in Computer Science, Information Technology, Engineering, or related field.

Relevant Experience
  • 5+ years data engineering experience and/or training
  • Advanced understanding of data engineering concepts with the ability to address complex data and platform challenges
  • Strong proficiency in SQL for data transformation, optimization, and modeling
  • Proficient in one or more programming languages such as Python or .NET
  • Proficient in data application development using frameworks like Shiny, Streamlit, Gradle, and FastAPI
  • Experience with Azure DevOps, Databricks, SQL, and Data Modeling
  • Experience 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 documentation
  • Can apply critical thinking skills to solving problems and a strong technical aptitude
  • Experience delivering data solutions through agile software development methodologies
Preferred (Nice to Have) Qualifications
  • Hands-on experience with PySpark and Databricks for building and operating scalable data solutions
  • Proficiency in Python for data engineering workflows and automation
  • Experience working in Azure-based data platforms such as Databricks, Azure Data Lake, and Azure DevOps
  • Experience delivering data solutions using Agile software development methodologies
  • Experience supporting or enabling analytics, BI, or data science workloads
Other Information

This role reports to office at Simplot Headquarters in Boise, ID full-time.

Job Requisition ID: 26003

Travel Required

Location(s): Simplot Headquarters - Boise 

Country: 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. **
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J.R. Simplot logo

About J.R. 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.

Industry

Food and drink manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Boise, ID, US

Year founded

1955

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