1

Data Engineering Jobs in Boise, ID (NOW HIRING)

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 ...

AI Engineer, Data Science Team- Boise, ID

Boise, ID · On-site

$109K - $130K/yr

Collaborate with data scientists, data engineers, product owners, business stakeholders, and ... Deploy and support AI solutions in production environments using modern engineering practices ...

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 ...

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 ...

Head of Prism Operations

Boise, ID · On-site

$100K - $140K/yr

This is a high-impact leadership role at the intersection of client reporting, data engineering, and people management. The ideal candidate thrives in ambiguous, fast-evolving product environments ...

This is a high-impact leadership role at the intersection of client reporting, data engineering, and people management. The ideal candidate thrives in ambiguous, fast-evolving product environments ...

Showing results 41-60

Data Engineering information

See Boise, ID salary details

$43.8K

$157.1K

$231.8K

How much do data engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineering in Boise, ID is $157,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,100.00 and $161,800.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Boise, ID? The most popular types of Data Engineering jobs in Boise, ID are:
What are popular job titles related to Data Engineering jobs in Boise, ID? For Data Engineering jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Boise, ID look for? The top searched job categories for Data Engineering jobs in Boise, ID are:
What cities near Boise, ID are hiring for Data Engineering jobs? Cities near Boise, ID with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Boise, ID as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,057 per year, or $75.5 per hour.

IT Data Analyst

Ericsson

Boise, ID • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Ericsson rating

9.2

Company rating: 9.2 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

2nd of 97 rated telecommunications companies


Job description

Grow with us!
  • This role is a hybrid position with the expectation to work onsite (3) three days a week in Boise, Idaho and relocation is not offered for this position.
  • Ericsson Enterprise Wireless Solutions Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's. Ericsson also does not hire F-1's working on CPT or EAD for this position.

About this opportunity
Ericsson Enterprise Wireless Solutions is seeking a Data Analyst to support business requirements gathering, exploratory data analysis (EDA), and technical specification development for analytics, data, and AI-enabled solutions. Based in Boise, ID (hybrid, 3 days onsite per week), this role sits within the Central Data & AI - Standards & Solutions team and reports to the Director, Data Analytics & AI. It serves as a key bridge between business stakeholders and technical delivery teams, translating complex or evolving business needs into clear, testable, and actionable requirements. The primary focus is front-end discovery, requirements definition, documentation, validation, and delivery coordination - not engineering build activities.
What you will do
  • Partner with business stakeholders to gather, clarify, and document requirements for analytics, reporting, data products, semantic models, and AI-enabled solutions
  • Translate ambiguous business requests into structured problem statements, user stories, acceptance criteria, and technical specifications
  • Conduct exploratory data analysis using SQL to validate assumptions, assess data availability, and identify data quality issues
  • 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, requirements workshops, stakeholder interviews, and cross-functional alignment meetings
  • Create and maintain documentation including business requirements documents, process flows, metric definitions, test scenarios, and decision logs
  • Support Agile delivery by writing user stories, documenting acceptance criteria, and participating in sprint planning and prioritization
  • Identify gaps between stakeholder expectations, available data, and technical feasibility; proactively communicate risks and tradeoffs
  • Support user acceptance testing and promote consistent use of data definitions and standardized analytics practices

The skills you bring
Qualifications
  • 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 analyst, BI analyst, product analyst, or similar requirements-focused role
  • 1-2 years of hands-on SQL experience (joins, filters, aggregations, CTEs, exploratory profiling)
  • Demonstrated ability to gather stakeholder requirements and translate them into clear documentation for technical teams
  • Strong written and verbal communication skills; able to adapt style for both technical and non-technical audiences
  • Experience with data visualization tools such as Tableau, Power BI, or equivalent
  • Understanding of data warehousing concepts (tables, views, dimensions, facts, grain)
  • Strong organizational skills with the ability to manage multiple workstreams and follow through on commitments

Nice to have
Familiarity with Snowflake, dbt, Jira, Azure DevOps, Confluence, or GitLab; exposure to Agile methodologies, data governance practices, Power BI semantic models, or AI/ML analytics initiatives
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: United States (US) || Hybrid: Boise, Idaho
Job details: IT Data Analyst
Compensation and Benefits at Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.
Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.
Your Health
Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution.
Your Financial Security
We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits.
Your Time
Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
Additional Benefits
Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.

What Ericsson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom