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Data Engineer Jobs in Meridian, ID (NOW HIRING)

Micron Technology

Staff Data Scientist

Boise, ID · On-site

You will collaborate with Data Scientists, Data Engineers, Finance Business Users, and UX teams to find questions and problems. You will create solutions for budgeting, income statement ...

Micron

Staff Data Scientist

Boise, ID · On-site

You will collaborate with Data Scientists, Data Engineers, Finance Business Users, and UX teams to find questions and problems. You will create solutions for budgeting, income statement ...

Fisher's Technology

Power BI Data Analyst

Boise, ID · On-site

You will work closely with clients, data engineers, business leaders, and IT teams to ensure data accuracy, accessibility, and actionable insights across every engagement. You'll be joining a well ...

zdata

Big Data DevOps Engineer

Boise, ID

$45.75 - $62.50/hr

Company Description zData Inc is taking Big Data to a new level by providing best-in-class Big Data ... This position will report to the DevOps Managed Services division and be responsible for creating ...

zdata

Big Data DevOps Engineer

Boise, ID · On-site

$45.75 - $62.50/hr

Company Description zData Inc is taking Big Data to a new level by providing best-in-class Big Data ... This position willreport to the DevOps Managed Services division andbe responsible for creating and ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to ...

Lamb Weston LATAM

Technology Data Analyst

Eagle, ID · On-site

... engineers, business analysts, and stakeholders to analyze and create data requirements and translate them into effective data models and visualizations, particularly those involving SAP and other ...

Lovevery

Senior Analytics Engineer

Boise, ID · On-site

$99K - $136K/yr

About the role We are seeking a Senior Data Engineer, Analytics to play a pivotal role in shaping our data strategy and enabling data excellence across the business. This is a high-impact individual ...

Lovevery

Senior Analytics Engineer

Boise, ID · On-site

$99K - $136K/yr

About the role We are seeking a Senior Data Engineer, Analytics to play a pivotal role in shaping our data strategy and enabling data excellence across the business. This is a high-impact individual ...

Lovevery

Senior Analytics Engineer

Boise, ID

$99K - $136K/yr

About the role We are seeking a Senior Data Engineer, Analytics to play a pivotal role in shaping our data strategy and enabling data excellence across the business. This is a high-impact individual ...

Clearwater Analytics

Sr. Data Flow Engineer

Boise, ID · On-site

$109K - $130K/yr

The Data Flow Engineer's primary role is to create and manage data connections, perform validations, and execute transformations. Their work is integral to the ongoing process of iterative ...

Clearwater Analytics

Sr. Data Flow Engineer

Boise, ID

$109K - $130K/yr

The Data Flow Engineer's primary role is to create and manage data connections, perform validations, and execute transformations. Their work is integral to the ongoing process of iterative ...

Micron

Sr Data Scientist

Boise, ID

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to ...

Lamb Weston, Inc.

Technology Data Analyst

Eagle, ID · On-site

Collaborate with data engineers, business analysts, and stakeholders to analyze and create data requirements and translate them into effective data models and visualizations, particularly those ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Meridian, ID

Data Engineer information

See Meridian, ID salary details

$43.1K

$125.8K

$172.1K

How much do data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data engineer in Meridian, ID is $125,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,300.00 per year, depending on experience, location, and employer.

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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Meridian, ID? The most popular types of Data Engineer jobs in Meridian, ID are:
What job categories do people searching Data Engineer jobs in Meridian, ID look for? The top searched job categories for Data Engineer jobs in Meridian, ID are:
What cities near Meridian, ID are hiring for Data Engineer jobs? Cities near Meridian, ID with the most Data Engineer job openings:
Data Engineer jobs near you
Cloud Data Platform Engineer (SAP Datasphere)

Cloud Data Platform Engineer (SAP Datasphere)

Simplot

Boise, ID • On-site

Full-time

Posted 8 days ago

J.R. Simplot rating

7.1

Company rating: 7.1 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

180th of 383 rated food and drinks producers

Job description

The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
Summary
The Datasphere Engineer role is responsible for the design, initialization, implementation, maintenance, and support of the enterprise Datasphere platform. This role partners closely with business stakeholders, the data engineering team, the SAP team, and security teams to establish the core architectural patterns, security schema, and operational standards that will enable a stable, scalable, cost-effective and secure platform across the organization. This role applies advanced data engineering and platform engineering principles to moderately complex and high value initiatives. This role will exercise independent judgment, own key technical decisions, and contribute to a long-term platform strategy while delivering a hands-on implementation.
Key Responsibilities
Platform Design, Initialization & Implementation
Lead the initial setup and configuration of the Datasphere platform, establishing foundational design patterns, environments, and operational standards.
Define and implement the Datasphere architecture, including space organization, separation of concerns, and alignment to business domains.
Design and establish data integration between Datasphere and upstream / downstream systems, including Databricks and SAP.
Platform Maintenance & Support
Lead the identification and assessment of on-going maintenance and support needs for the Datasphere platform.
Provide on-going maintenance and support, in coordination with other teams, for the Datasphere platform.
Security & Governance
Partner with business stakeholders to design and implement the Datasphere security model.
Ensure the platform aligns with enterprise data governance standards and security best practices.
Contribute to the definition of platform access and security roles to enable secure self-service while maintaining appropriate controls.
Stakeholder Collaboration
Work directly with business and technical stakeholders to understand data, access, and operational requirements.
Translate business needs into technical designs that balance stability, scalability, and cost-effectiveness.
Provide guidance and recommendations on Datasphere capabilities, constraints, and best practices.
Engineering & Delivery
Develop and maintain infrastructure as code to enable automation of configuring and supporting the Datasphere platform.
Apply data engineering best practices to ensure stability, scalability, and cost-effectiveness of the platform.
Participate as a technical lead or primary on platform-related initiatives, providing estimates and contributing to delivery planning.
Documentation & Enablement
Create and maintain clear technical documentation for Datasphere architecture, security models, and operational processes.
Contribute to onboarding materials and knowledge sharing to enable adoption by data engineers and business users.
Mentor team members and provide technical guidance related to Datasphere usage and design.
Provide time and effort estimates for assigned work.
Typical Education
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience
Required Qualifications
  • 4-10 years of experience in data engineering, platform engineering, or analytics platform implementation.
  • Experience with cloud-based data platforms and modern data engineering tools.
  • Strong understanding of data platform architecture and data modeling concepts.
  • Proficiency in SQL and familiarity with automation, scripting, or infrastructure-as-code concepts.
  • Ability to evaluate and recommend platform design patterns based on business and technical requirements.

Preferred Qualifications
  • Prior experience standing up or modernizing an enterprise analytics or data sharing platform.
  • Experience working in cross-functional teams with data engineering, security, and business stakeholders.
  • Exposure to large-scale data platforms and integration with enterprise data platforms.
  • Experience with SAP, Databricks, Snowflake, Azure, or Terraform.
  • Experience with SAP, SAP BW, SAP Data Products or SAP Business Content.

Job Requisition ID: 25640
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. **

What J.R. Simplot employees say

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Benefits

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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