1

Data Engineering Jobs in Boise, ID (NOW HIRING)

Comerit is searching for a Manager of Data Engineering and Analytics to lead our client's growing team of data and analytics engineers. You will be responsible for defining and managing a long-term ...

Data Engineer III

Boise, ID ยท On-site

$99K - $118K/yr

Responsibilities : โ€ข Participates as a member of a data engineering team; mentors and guides other engineers. โ€ข Performs analysis of technical requirements of high complexity. โ€ข Designs and ...

Data Engineer III

Boise, ID

$109K - $130K/yr

Participates as a member of a data engineering team; mentors and guides other engineers. * Performs analysis of technical requirements of high complexity. * Designs and develops solutions of high ...

Data Engineer III

Boise, ID ยท On-site

$109K - $130K/yr

Key ResponsibilitiesParticipates as a member of a data engineering team; mentors and guides other engineers.Performs analysis of technical requirements of high complexity.Designs and develops ...

Data Engineer III

Boise, ID

$109K - $130K/yr

Participates as a member of a data engineering team; mentors and guides other engineers. * Performs analysis of technical requirements of high complexity. * Designs and develops solutions of high ...

Data Engineer III

Boise, ID ยท On-site

$109K - $130K/yr

Participates as a member of a data engineering team; mentors and guides other engineers. * Performs analysis of technical requirements of high complexity. * Designs and develops solutions of high ...

Leveraging advanced technical expertise, business acumen, and deep understanding of data engineering principles, this role is responsible for solving complex data challenges, leading technical ...

Leveraging advanced technical expertise, business acumen, and deep understanding of data engineering principles, this role is responsible for solving complex data challenges, leading technical ...

Leveraging advanced technical expertise, business acumen, and deep understanding of data engineering principles, this role is responsible for solving complex data challenges, leading technical ...

Data Engineer

Meridian, ID ยท On-site

$108K - $129K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Nampa, ID ยท On-site

$101K - $122K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Boise, ID ยท On-site

$109K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Summary The Data Platform Manager is critical to enabling the Data Engineering vision and strategy for the company and delivering solutions that transform how we operate and make decisions. The ...

Summary The Data Platform Manager is critical to enabling the Data Engineering vision and strategy for the company and delivering solutions that transform how we operate and make decisions. The ...

SummaryThe Data Platform Manager is critical to enabling the Data Engineering vision and strategy for the company and delivering solutions that transform how we operate and make decisions. The ...

next page

Showing results 1-20

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 Jul 30, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure 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 optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

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 engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

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 typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $157,057 per year, or $75.5 per hour.

Manager Data Engineering and Analytics

Comerit

Eagle, ID โ€ข On-site

$150K/yr

Contractor

Re-posted 11 days ago


Job description


Comerit is searching for a Manager of Data Engineering and Analytics to lead our client's growing team of data and analytics engineers. You will be responsible for defining and managing a long-term vision and portfolio of initiatives to improve the customer experience and business results through creating world-class data infrastructure and enabling data-driven analytics.This includes establishing standards and optimizing our data engineering, data flow and data collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.This candidate also demonstrates skills in working with multiple business areas and can analyze their data requirements in a harmonious way to optimize both the data landscape as well as the analytics around it.
The Manager Data Engineering and Analytics will support our client's Enterprise Data Architect and lead a team of Data Engineers and BI Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and proficient at supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's reporting and analytics infrastructure to support our next generation of products and data initiatives.
This person will:
  • Collaborate on the creation and maintenance of optimal data pipeline architectures
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Work with peers to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
  • Lead a team to assemble large, complex data sets that meet functional / non-functional business requirements
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • May also be called on to perform tasks related to Data Engineering and setting up analytics environment
  • Work with stakeholders including the Executive teams to assist with data-related technical issues and support their data infrastructure needs
  • Keep our client's data separated and secure across national boundaries through multiple data centers and AWS regions
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Analyze, validate, prioritize, and provide cost estimates for service requests and project work
  • Develop and maintain an analytics roadmap in conjunction with the overall Data Architecture roadmap
  • Work with project managers to develop project plans and manage to the plans
  • Develop and publish standards that govern the data engineering and analytics domain.
  • Establish service delivery metrics for service requests and project work.
  • Perform career management functions for the data analytics team including establishing annual goals and development plans, annual reviews, and compensation planning.

Requirements
Experience with AWS S3, Sagemaker, Step Functions and other AWS toolsets
Experience with Microsoft SQL Server
Experience with Boomi or other IPaaS tools
Experience with Extract, Transform and Load (ETL) methodologies and tools
Experience with Python or R scripting.
Knowledge of SAP and SAP data structures preferred or similar ERP tools.
Ability to manage multiple projects
Work with upper management