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Data Engineer Jobs in Meridian, ID (NOW HIRING)

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 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 ...

Deloitte

Lead AI and Data Science Engineer II

Boise, ID · On-site

$97K - $128K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

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 ...

Ericsson

IT Data Analyst

Boise, ID · On-site

Collaborate with data engineers, analytics engineers, BI developers, and AI/ML practitioners to ensure business logic is accurately reflected in delivered solutions * Facilitate discovery sessions ...

College of Western Idaho

View Job

Nampa, ID · On-site

$109K - $131K/yr

IT Data Analytics Engineer Nampa - Staff Apply now Job no:496786 Opened:Jul 27 2026 MST Anticipated Close Date:Aug 17 2026 MST Reports To: Director, Enterprise Applications Position Status: FT ...

PHOTRONICS INC

Applications Engineer, Lead

Boise, ID · On-site

We are hiring an Applications Engineer lead who evaluates and supports digital integrated-circuit ... They analyze software solutions to define data-operation workflows and work with vendors and ...

H R PUNDITS INC

Senior AI/ML Engineer

Boise, ID · Remote

$130K/yr

Remote 10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark, and optimize text embedding and vector search solutions for large-scale clinical data. This role ...

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Showing results 41-60

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 Aug 9, 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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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
Infographic showing various Data Engineer job openings in Meridian, ID as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $125,750 per year, or $60.5 per hour.

Big Data DevOps Engineer

zdata

Boise, ID • On-site

$45.75 - $62.50/hr

Full-time

Re-posted 17 days ago

Job description

Company Description

zData Inc is taking Big Data to a new level by providing best-in-class Big Data, advanced analytics and data warehousing solutions and services that utilize enterprise and open source. Our solutions allow decision makers to quickly and affordably perform complex analysis of terabytes of data to accelerate and improve business decisions. zData is partnered with companies like GCP, AWS, Confulent, Azure, EMC, VMware, Cisco and Pivotal to provide breakthrough products and services around cloud and the Big Data space.

Job Description

This position will report to the DevOps Managed Services division and be responsible for creating and maintaining DevOps environments for ZData clients.

 

Summary Description: 

  • Participate in design, implementation and automation of system architectures that scale with custom requirements.
  • Create and support cloud (AWS and GCP) and local cluster environment and infrastructure.
  • Assist with automation of builds and deployment of software products.
  • Prepare and implement data security, backup and disaster recovery.
  • Help optimize software development and deployment
  • Experience programming and/or scripting (python or  java preferred)
  • Experience working with Ansible and Terraform
  • Exposure to big data technologies (Hadoop, Spark, NoSQL, EMR, Pivotal Cloud Foundry, Kafka, ElasticSearch)
  • Comfortable working in a Linux environment
  • Familiarity with software development practices such as Agile, Pair, XP
  • Familiarity with code repository tech (GIT)
Qualifications

Preferred qualification:

        Ability to learn quickly
        Hands on experience using Massively Parallel Processing technology
        Exposure to one or more MPP DBMS (Teradata, Vertica, Netezza, Greenplum)
        Expert in Ansible and Terraform
        Experience with Big Data Technologies.
        Experience with Data Warehousing and ETL/ELT
        Experience with AWS, Google Cloud
        Bachelor's Degree
        5+ years of technical expertise.
        Ability to Travel.

Additional Information

This position includes the following:
    Annual salary DOE
    Excellent full benefits package; bonus potential.
    40 hour work week.
    Up to 50% travel
    Business Casual dress & Business Professional dress.

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