Top Senior Level Data Engineer Jobs in Boise, ID

The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.

As a Senior Data Engineer at Wizard, you will enhance the company's data capabilities by developing scalable data infrastructure, optimizing ETL pipelines, collaborating with data scientists, and integrating external e-commerce platforms to improve data systems.

The Privacy, AI and Data Protection Counsel will manage Wiz's privacy and data protection compliance program, provide guidance on compliance matters, negotiate Data Processing Agreements, and stay informed on global regulations. Reporting to Wiz’s Global Privacy Officer, this role requires expertise in addressing privacy concerns particularly in technology contracts.

As a Data Engineer, you will support analytics initiatives by developing and maintaining data pipelines, collaborating with various teams, optimizing existing data processes, and ensuring data quality. This role also involves designing data models and deploying architecture for efficient data retrieval and storage.

Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.

As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.