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Top Data Engineer Jobs in Boise, ID

10 Days Ago
USA
Remote
37 Employees
Senior level
37 Employees
Senior level
Information Technology • Consulting
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
10 Days Ago
United States
Remote
98 Employees
Junior
98 Employees
Junior
Software
The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.
10 Days Ago
United States of America
8,150 Employees
Mid level
8,150 Employees
Mid level
Information Technology • Software • Travel
The Privacy and Compliance Analyst at Sabre will assist in developing and maintaining global privacy policies and compliance measures. Responsibilities include managing the OneTrust platform, conducting assessments of privacy programs, providing guidance on privacy issues in project planning, and maintaining privacy metrics reporting.
10 Days Ago
USA
Remote
89 Employees
Mid level
89 Employees
Mid level
Financial Services
The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.
10 Days Ago
United States
5,717 Employees
64K-103K Annually
Mid level
5,717 Employees
64K-103K Annually
Mid level
Healthtech • Pharmaceutical
The Sr. EDI Analyst will analyze and redesign business IT processes, focusing on EDI implementations within the healthcare sector. Responsibilities include developing technical specifications, refining mapping documents, collaborating with developers for testing, and ensuring high-quality product delivery within an Agile environment.
10 Days Ago
USA
Remote
536 Employees
100K-130K Annually
Mid level
536 Employees
100K-130K Annually
Mid level
Financial Services
As a Mid-Level Data Engineer, you will develop, test, and maintain scalable Python applications, collaborating closely with product managers and designers. You will write efficient code, participate in code reviews, troubleshoot issues, and contribute to system architecture.
10 Days Ago
8 Locations
Remote
47 Employees
Senior level
47 Employees
Senior level
Software
In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.
10 Days Ago
USA
Remote
143 Employees
90K-125K Annually
Senior level
143 Employees
90K-125K Annually
Senior level
Information Technology • Consulting
The Oracle Banner Database Administrator is responsible for supporting Oracle databases and related tools for multiple clients, managing updates and patches, conducting database tuning and optimization, and providing technical leadership for Ellucian Banner products in a higher education context.
11 Days Ago
2 Locations
Remote
49 Employees
100K-180K Annually
Mid level
49 Employees
100K-180K Annually
Mid level
Fintech • Payments • Financial Services
As a Data Engineer at Kalshi, you will be responsible for building and operating the full data stack, collaborating across the business to drive data-driven decisions, refining data sources and pipelines, creating production-quality dashboards, and informing product engineering roadmap through data analysis.
11 Days Ago
United States
Remote
160 Employees
Senior level
160 Employees
Senior level
Big Data • Consumer Web • eCommerce • Enterprise Web • Software • Analytics • Big Data Analytics
As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve data technologies including ETL processes and data pipelines. Your role will involve working with AWS and tools like Airflow and PySpark to create automated data solutions, develop data products, and ensure data quality and governance.
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