Top Data & Analytics Jobs in Boise, ID

Lead analytics engineering by building and optimizing scalable data pipelines, transformations (dbt), and data models on cloud warehouses. Deliver performant, cost-effective pipelines, dashboards, and AI-assisted tooling while collaborating cross-functionally to enable self-serve analytics.

Lead design, implementation, and optimization of dbt-based ELT pipelines on Snowflake. Build and maintain dbt Cloud projects, implement CI/CD, enforce testing and data quality, document lineage, mentor teammates, and optimize performance and costs for analytics and downstream use cases.

Design, develop, and support SQL Server databases and related ETL/BI solutions (SSIS/SSRS). Implement database source control, CI/CD with TFS/SSDT, tune performance, maintain security, and collaborate with teams in an Agile/Scrum environment.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

The role involves leading data engineering and analytics teams, optimizing data systems, collaborating on data pipelines, and managing data infrastructure projects.

Drive process improvement and automation by identifying inefficiencies, developing automations and data pipelines, analyzing KPIs, and designing LLM/ML-enabled solutions in collaboration with AI. Support analytics, SQL/Databricks work, and deliver data-driven insights to improve operational efficiency.

The IT Senior Analyst will gather requirements, lead testing, manage integration projects, and mentor team members in a high-paced environment.

The Principal Data Platform Engineer leads the architecture and development of the enterprise data platform, focusing on analytics, data science, and AI/ML capabilities. They establish standards for data quality and observability, design data ingestion and processing patterns, and mentor team members to enhance technical capabilities.

As a Data Analyst Intern, you'll assist with data collection, cleaning, analysis, and visualization, contributing to business projects while gaining practical experience.

Develop and maintain ETL solutions, optimize processes, validate data, and support production issues. Collaborate with analysts for efficient data integration.

Design, develop, and maintain ETL solutions using Informatica PowerCenter. Collaborate with business analysts, optimize ETL processes, and ensure data quality.