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Data Engineer Jobs in Boise, ID (NOW HIRING)

Micron Technology, Inc.

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 ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

$100 - $130/hr

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

Micron

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 ...

Ericsson Inc.

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 ...

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 ...

Stryker Corporation

Lead Data Privacy Engineer

Boise, ID · On-site

$106.61 - $284.28/hr

The Lead Data Privacy Engineer will play a critical role in advancing enterprise data protection capabilities by designing and implementing scalable privacy and security solutions that safeguard ...

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All JobsData Engineer JobsData Engineer Jobs in Boise, ID

Data Engineer information

See Boise, ID salary details

$42.4K

$123.5K

$168.9K

How much do data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer in Boise, ID is $123,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,900.00 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.
More about Data Engineer jobs

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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Boise, ID as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $123,459 per year, or $59.4 per hour.

Sr Data Scientist

Micron Technology, Inc.

Boise, ID • On-site

Other

Medical, Dental, Vision, PTO

This job post has expired today. Applications are no longer accepted.

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers

Job description

Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
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 uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.
You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you'll help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be outstanding opportunities to perform exploratory and new solution development activities.
Responsibilities include, but are not limited to:
  • Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.
  • Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.
  • Visualization: Build clear and informative visualizations to communicate findings and insights to stakeholders.
  • Collaboration: Work closely with engineers and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions
  • Continuous Improvement: Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing

Minimum Qualifications:
  • B.S./M.S. degree or equivalent experience in Data Science, Computer Science, Industrial Engineering or other engineering field.
  • 3+ years working within data science in engineering or related industry with in-depth knowledge in statistical modeling, machine learning, deep learning. Strong skills in python and at least familiar with 1 machine learning framework (like pyTorch, sklearn etc.).
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Strong skills to quickly build prototype solutions based on business requirements, experience deploying data science solution into production environments.
  • Effective communication skills for explaining models, assumptions, and results to non-technical partners, able to work independently with internal and external partners to drive ideas to resolution.
  • Proactive problem-solving approach and ownership outlook.
  • Passion and interest to learn semiconductor manufacturing to resolve terabytes and petabytes of data to solve memory wafer related problems, enjoy working in diverse environment.

Preferred Qualifications:
  • PhD or equivalent experience in related subject areas are preferred
  • Experience working in Google cloud platform or other big data platform
  • Experience with Generative AI solutions including RAG, LLM tuning, and agentic problem solving. Solid experience with RCA (root cause analysis) related algorithms and modeling in solving complex industry problems are preferred.
  • Good full stack skills to build end-to-end data science application with scalability and robustness
  • Experience working with Manufacturing Execution Systems (MES), or good knowledge in wafer process and yield analysis
  • Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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