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

Ericsson

Marketing Analytics Engineer

Boise, ID · On-site

Our marketing data is modeled in Snowflake through a layered dbt project. You'll help evolve and ... At least 4 years in data/BI, marketing analytics, or analytics engineering with hands-on ownership ...

Comerit

Manager Data Engineering and Analytics

Eagle, ID · On-site

$150K/yr

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 ...

Clearwater Analytics

Sr. Technical Data Analyst

Boise, ID · On-site

$81K - $103K/yr

... analytics. Additionally, the analyst partners with clients, investment teams, and project ... Knowledge of one or more programming languages (e.g., Java, Python, VBA). * Proficiency in data ...

Ericsson GmbH

IT Data Analyst

Boise, ID · On-site

$60 - $80/hr

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 ...

Ericsson

IT Data Analyst

Boise, ID · On-site

... data engineers, analytics engineers, BI developers, and AI/ML practitioners to ensure business logic is accurately reflected in delivered solutions Facilitate discovery sessions, requirements ...

Armaninollp

Data & AI Platform Engineer

Boise, ID · On-site

$109K - $130K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Ericsson

AI Data Engineer

Boise, ID · On-site

$109K - $130K/yr

As Senior AI Analytics Engineer, you will design and ship the AI agents, applications, and ... You'll sit closer to the business than a traditional data engineer. The job starts with a business ...

Workiva

Spring 2027 Intern - Data Analytics

Meridian, ID · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

Spring 2027 Intern - Data Analytics

Nampa, ID · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

Spring 2027 Intern - Data Analytics

Boise, ID · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

Spring 2027 Intern - Data Analytics

Nampa, ID · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

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

Data Analytics Engineer information

See Boise, ID salary details

$42.4K

$123.5K

$168.9K

How much do data analytics engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for 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.

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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $123,459 per year, or $59.4 per hour.

Grafana & ClickHouse Analytics Engineer

Boise, ID • On-site

Northern Base
See more jobs at Northern Baseexternal

Full-time

Re-posted 17 days ago

Job description

Role: Grafana & ClickHouse Analytics Engineer
Location: Boise, ID
Fulltime
UCS/GC/GC EAD
 
Job Description
Must Have Technical/Functional Skills:
Grafana dashboards, panels, visualizations and alerting
Click House architecture, schema design and data modeling
Click House SQL, SQL Server to ClickHouse migration and syntax differences
Query optimization, performance tuning and large-scale analytics
Near real-time analytics, observability practices and collaboration/documentation
 
Roles & Responsibilities
• 5 to 8 years of experience in BI/reporting, analytics engineering, observability, or data platform 
implementation.
• Hands-on experience building Grafana dashboards using variables, templating, transformations, 
drilldowns, annotations, alert rules, notification channels/contact points, and dashboard-as-code 
practices where applicable.
• Strong understanding of Click House architecture including Merge Tree engines, partitions, primary/sort
 keys, materialized views, projections, compression, distributed tables, and replication/sharding concepts.
• Experience converting SQL Server / T-SQL based analytics, stored logic, or SSRS report datasets into 
Click House-compatible SQL and optimized analytical query patterns.
• Ability to analyze existing SSRS reports, identify metrics/KPIs, map datasets, validate business logic, 
and recreate equivalent or improved visualizations in Grafana.
• Strong SQL skills with focus on aggregation, window functions, joins, time-series queries, query profiling, 
explain plans, and performance tuning for high-volume analytical workloads.
• Working knowledge of near real-time analytics pipelines, ingestion patterns, data freshness, alert thresholds, 
SLA/SLO monitoring, and dashboard performance best practices.
• Ability to work with cross-functional teams, communicate migration risks, document assumptions, and
 support UAT/business validation.
 
Key Responsibilities
- Assess existing SSRS reports and SQL Server analytics assets, document report inventory, datasets, 
dependencies, calculations, filters, and migration complexity.
- Design and develop Grafana dashboards that replicate or enhance existing SSRS reporting capabilities
 using reliable visualizations, variables, and user-friendly navigation.
- Create and optimize ClickHouse SQL queries for large-scale analytics with appropriate data modeling, 
partitioning, sorting keys, materialized views, and query tuning techniques.
- Collaborate with data engineering teams to define ingestion, transformation, and data validation 
requirements for ClickHouse as the target analytics platform.
- Implement Grafana alerting for key operational/business metrics, including severity levels, thresholds, 
routing, and notification configuration.
- Validate report outputs against legacy SSRS/SQL Server results, reconcile discrepancies, and document 
any changes in metric definitions or business rules.
- Establish dashboard performance standards, reusable patterns, naming conventions, access controls, and 
monitoring best practices.
- Prepare technical documentation, migration runbooks, KT materials, and support handover to 
operations/business users.