Top Remote Senior Level Data Engineer Jobs in Phoenix, AZ

As a Senior Analytics Engineer at Apollo.io, you will design and maintain data models, implement data engineering standards, and collaborate cross-functionally to deliver scalable data solutions. You will influence analytics infrastructure and provide strategic insights for business decision-making.

The SAS Analyst/Developer will develop and maintain SAS programs, leverage Python for data workflows, and collaborate with teams to translate business requirements into analytical solutions. Responsibilities include data validation, cleansing, optimizing processes, and documenting methodologies.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

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.