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Manager Data Analytics Engineer Jobs in Boise, ID

Data Engineer

Eagle, ID · On-site

$109K - $131K/yr

Summary Lamb Weston is pursuing a modernization of its data assets and analytics environment. With ... management science and optimization activities across it business functions. This role plays an ...

Data Engineer

Eagle, ID · On-site

$109K - $131K/yr

Summary Lamb Weston is pursuing a modernization of its data assets and analytics environment. With ... management science and optimization activities across it business functions. This role plays an ...

New

Data Engineer III

Boise, ID · On-site

$99K - $118K/yr

... • Performs analysis of technical requirements of high complexity. • Designs and develops ... Manages work completed by Vendors for specific initiatives. Qualifications : Required : • ...

... the reporting, analytics, and data science needs of the company. This includes managing the ... As a key leader on the Data Engineering team, the Data Platform Manager shapes the policies and ...

... the reporting, analytics, and data science needs of the company. This includes managing the ... As a key leader on the Data Engineering team, the Data Platform Manager shapes the policies and ...

... the reporting, analytics, and data science needs of the company. This includes managing the ... As a key leader on the Data Engineering team, the Data Platform Manager shapes the policies and ...

SummaryThe Data Platform Manager is critical to enabling the Data Engineering vision and strategy ... Develop and present analysis to management (e.g., cost/benefit, implementation plans).Partner with ...

Using advanced inspection technologies, data analytics, and innovative defect detection ... management methodologies * Demonstrated success developing new monitoring strategies, best known ...

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 ...

Showing results 41-60

Manager Data Analytics Engineer information

See Boise, ID salary details

$42.4K

$123.5K

$168.9K

How much do manager data analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manager data analytics 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 the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Boise, ID? The most popular types of Data Analytics Engineer jobs in Boise, ID are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Boise, ID? For Manager Data Analytics Engineer jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Boise, ID look for? The top searched job categories for Manager Data Analytics Engineer jobs in Boise, ID are:

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Lamb Weston rating

6.9

Company rating: 6.9 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

239th of 435 rated food and drinks producers


Job description

Title: Data EngineerLocation: Eagle, IDJob Requisition ID: Req-270931Time Type: Full time

About Lamb Weston


You've probably enjoyed our fries without even knowing it! As a leading manufacturer in our industry, we inspire and bring people together with foods they love and trust. Our customer base includes international food service providers, restaurants, and households in over 100 countries around the world.


A highly innovative global corporation with a start-up mindset, we empower every individual to make a genuine difference. You'll gain access to hands-on training to fuel your growth and success, explore opportunities for new solutions, and you'll join a winning team of 10,000+ people all dedicated to raising the bar - together.


If you have a strong drive for results, a desire to help us bring the world together through our fries, and are ready for a fresh challenge, we want to hear from you.

Job Description Summary

Lamb Weston is pursuing a modernization of its data assets and analytics environment. With executive support, Lamb Weston is building out its data assets to enable next generation analytics by strengthening its historical and diagnostic activities while enabling forward looking predictive, predictive, management science and optimization activities across it business functions.
This role plays an exciting and central role in the success of this mission. The successful candidate will be supporting and migrating our legacy to our modern data environment. We be working with business partners and be empowered to build enterprise business focused data models to drive tangible and material business value.

Job Description

Position Responsibilities:

  • Design,buildsandmaintaindata warehouses (existing and from scratch) usingKimball and modern datamethodologies.
  • Debug support issues with the legacy environment and support our business users.
  • Design and implement efficient data pipelines (ETLs)tointegrate data from a variety of sources into Data Warehouse as well as data model changes that align with warehouse standards and backfill or other warehouse data management processes
  • Evaluates data design, database architecture, metadata and repositories for performance and effective design
  • Develop scalable ETL data pipelines withpython, SQL, and AWS cloud tools.
  • Optimization of existing SQL queries to improve reliability and performance.
  • Develop and execute testing strategies to ensure high quality warehouse data
  • Provide documentation, training, and consulting for data warehouse users
  • Work with cross functional stakeholders to design and architect data warehouse and analytics solutions
  • Perform requirement and data analysisin order tosupport warehouse project definition
  • Provide input and feedback to support continuous improvement in team processes
  • Analyze data to ensure information is accurate and reconcilable to its source of origin.Perform quality assurance testing asappropriate prior toreleasing data/information/reports into production / end users.

Basic & Preferred Qualifications

  • RequiresminimumBSin Computer Science or related fieldor combination of education and experience sufficient to perform duties at an experienced level
  • Must have a minimum of 3years'experience(in addition to education)in a technical environment withdata warehouse design and implementation.
  • 3 Years of programming experience in SQL,Javaor Python
  • In depth knowledge of Snowflake.
  • Knowledge of Informatica.
  • 1 Year + working as aDBA.
  • Preferred experience with assisting with SQL environments and migrating to modern platforms like Snowflake.
  • Preferred experience withAWS Tooling,Snowflake, Domo, and Visual Importer
  • Experience modeling in Kimballmethodology.
  • Requiresdemonstratedability to work in a team and collaborative environment
  • Strong communicationand interpersonal skills
  • Love of learningnew technologiesand having fun
  • Ability to travel10% of the time.

Industry-Competitive Benefits

Coupled with our compensation and bonus incentive programs, our benefits deliver rewards that are market competitive. Some of the most attractive elements of our benefit programs include:

  • Health Insurance Benefits - Medical, Dental, Vision

  • Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts

  • Well-being programs including companywide events and a wellness incentive program

  • Paid Time Off

  • Financial Wellness - Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance

  • Family-Friendly Employee events

  • Employee Assistance Program services - mental health and other concierge type services

Benefits may vary based on location, job role/level, job status, and/or the terms of any applicable collective bargaining agreements.

Anticipated Close Date

The anticipated close date is a good faith estimate for when this job will be closed. Some jobs may be unposted or filled earlier or later than the Anticipated Close Date depending on interview processes and business needs.Anticipated Close Date: 08/09/2026

Pay Transparency

In compliance with applicable state and local laws, Lamb Weston has opted to include a reasonable estimate of the compensation for this role. This compensation is specific to this position and takes into account a number of variables. Actual compensation may be higher or lower in the range posted based on various factors, including, but not limited to, job duties, experience and expertise. A candidate's work location could also impact the actual compensation being outside of the range to reflect local cost of labor. A reasonable annual estimate of the range for this role is listed below.Pay Rate or Range: $86,380.00 - $129,570.00

Equal Opportunity Employer

Lamb Weston is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status or any other protected factor under federal, state or local law


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