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Data Analytics Engineer Jobs in Boise, ID (NOW HIRING)

Armaninollp

Senior Data & AI Platform Engineer

Boise, ID · On-site

$64 - $85.75/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data ... Data & Analytics Platform Leadership * Serve as the technical authority across a core platform ...

Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

The engineer acts as a collaborative and informed team member by providing technical analysis and recommendations in support of team and business outcomes, evaluating data engineering challenges and ...

J.R. Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

Conducts thorough analysis of technical and data requirements ranging from moderate to advanced ... Leverages advanced data engineering expertise to perform routine and complex maintenance ...

Simplot

Data Engineer III

Boise, ID

$109K - $130K/yr

Conducts thorough analysis of technical and data requirements ranging from moderate to advanced ... Leverages advanced data engineering expertise to perform routine and complex maintenance ...

Simplot

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

Conducts thorough analysis of technical and data requirements ranging from moderate to advanced ... Leverages advanced data engineering expertise to perform routine and complex maintenance ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Boise, ID

Data Analytics Engineer information

See Boise, ID salary details

$38.5K

$112.2K

$153.5K

How much do data analytics engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data analytics engineer in Boise, ID is $112,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $118,900.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

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 Data Analytics Engineer jobs in Boise, ID?

For Data Analytics Engineer jobs in Boise, ID, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Boise, ID look for?

The top searched job categories for Data Analytics Engineer jobs in Boise, ID are:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Boise, ID as of August 2026, with employment types broken down into 80% Full Time, 13% Part Time, and 7% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $112,197 per year, or $53.9 per hour.

Senior Data Platform Engineer / SDE

Cambia Health Solutions

Boise, ID • On-site

$114K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Cambia Health Solutions rating

8.4

Company rating: 8.4 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

117th of 308 rated insurance

Job description

Senior Data Platform Engineer/SDE
Hybrid role (3 days/week in office) at our Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo offices.
Candidates must reside within commutable distance of that location or be willing to relocate.
Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.
Who We Are Looking For:
Every day, Cambia's Data & Analytics Engineering Team is living our mission to make health care easier and lives better.
Join our Data & Analytics Engineering team as a Senior Data Engineer, serving as the technical lead for a team of Data Engineers. You will design, build, optimize, and own scalable enterprise data pipelines and platform capabilities in Snowflake that power conventional and agentic analytics, purpose-built data products, and operational reporting. You will mentor engineers, drive technical standards, and contribute to platform strategy, positioning yourself for growth into Principal-level engineering and architecture roles or people leadership.
Your deep hands-on expertise, a consulting-oriented mindset, and proven ability to deliver measurable impact in complex environments, make an excellent fit for this role with clear growth opportunities.
If you're a motivated and experienced Senior Data Engineer looking to make a difference in the healthcare industry, apply for this exciting opportunity today!
What You Bring to Cambia:
Preferred Key Experience:
Experienced technical lead with a strong background in building and optimizing data pipelines, excellent SQL skills, and hands-on expertise with Snowflake, dbt, and modern ELT practices. Adept at breaking down work, mentoring Data Engineers, and delivering scalable, high-quality data solutions in complex enterprise environments.
Qualifications and Certifications:
  • The Senior Data Platform Engineer would have at least 6+ years of relevant experience in Data Engineering or Data Platform Engineering, with senior or lead experience
  • College degree in Computer Sciences, Mathematics, Business Administration, or related fields.
  • A college degree may be substituted by sufficient years of experience in the health care industry.
  • Experience with a business area that is supported by this position is preferred (i.e., Provider Network and Contract Management, Digital Solutions, Pricing, Membership, Claims, etc.).
  • Equivalent combination of education and experience

Skills and Attributes (Not limited to):
  • Deep expertise with Snowflake (strongly preferred), SQL and SQL/Python stored procedures, dbt or other ETL tools, ELT/ETL design patterns, and orchestration (Airflow or similar).
  • Strong data modeling (dimensional, normalized, and denormalized), pipeline design, performance optimization, and integration/migration expertise.
  • Data Profiling: Must be able to identify unique and primary keys and determine cardinality, data type, precision, and scale, and skew.
  • Experience with DataOps, CI/CD, semantic layers, metadata management, observability, streaming, and AI/agentic enablement.
  • Understanding of data governance, security, compliance, and enterprise platform ownership.
  • Excellent communication and collaboration across teams (Product, QA, Analytics, Business).
  • Ability to mentor, establish best practices, and influence technical decisions; proactive problem-solving and innovation.
  • Ability to think big, envision the work from the entire scope, and work down to into the details.

Nice to Have:
  • Experience in healthcare or complex enterprise data environments.
  • DevOps/DataOps proficiency
  • Exposure to budgeting/cost management and cross-team initiatives.

What You Will Do at Cambia (Not limited to):
  • Lead and mentor Data Engineers; drive engineering standards and best practices.
  • Independently design, build, tune, and own scalable Snowflake ELT pipelines, data models (with Modeling team), and platform artifacts supporting analytics/operational workloads.
  • Optimize performance (query tuning, compute sizing, workload isolation, cost management).
  • Partner with analytics, product, governance, QA, and business teams to deliver high-quality, observable data solutions.
  • Contribute to platform strategy, risk assessments, and adoption of modern practices (DataOps, CI/CD, AI tools).
  • Ensure data quality, testing, documentation, and knowledge sharing.
  • Demonstrate technical leadership by breaking down complex work and delivering value in squad/model environments.

Pay ranges vary based on the candidate's work location. The expected hiring range depends on skills, experience, education, and training; relevant licensure / certifications; and performance history.
Senior Data Platform Engineer:
  • Oregon, Washington, Utah, and Idaho: The expected hiring range is $114,000 - $143,000, the full salary range is $114,000 - $186,000, and the bonus target is 20%.
  • North Dakota: The expected hiring range is $101,000 - $134,000, and the full salary range is $101,000 - $167,000.

About Cambia
Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through.
Why Join the Cambia Team?
At Cambia, you can:
  • Work alongside diverse teams building cutting-edge solutions to transform health care.
  • Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
  • Grow your career with a company committed to helping you succeed.
  • Give back to your community by participating in Cambia-supported outreach programs.
  • Connect with colleagues who share similar interests and backgrounds through our employee resource groups.

We believe a career at Cambia is more than just a paycheck - and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more.
In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include:
  • Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
  • Annual employer contribution to a health savings account.
  • Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
  • Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
  • Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
  • Award-winning wellness programs that reward you for participation.
  • Employee Assistance Fund for those in need.
  • Commute and parking benefits.

Learn more about our benefits.
We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb.
As part of our security requirements, new hires will need access to a personal mobile device to set up Multi-Factor Authentication (MFA) upon joining the company. MFA is an important layer of protection for accessing Cambia systems and is required for all employees.
We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.
If you need accommodation for any part of the application process because of a medical condition or disability, please email CambiaCareers@cambiahealth.com. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.

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