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Top Senior Level Data & Analytics Jobs in Phoenix, AZ
As a Senior Data Engineer at Arcadia, you will design and develop data pipeline connectors for healthcare data integration, manage technical documentation, participate in team projects, code reviews, and scrum ceremonies, while ensuring timely delivery of solutions and collaborating with various internal teams to enhance analytic capabilities.
As a Senior Data Engineer, you will transform operational data into analytical data, perform data analysis, write schema changes, and maintain ELT pipelines. You will champion a data-driven culture and interface with internal clients to understand their data needs, alongside troubleshooting data issues.
As a Senior Analytics Engineer, you will design, build, and maintain data models, collaborate with various teams on data transformations and governance, and ensure high-quality data products. Your role will focus on leveraging tools like dbt and Snowflake to drive innovation and informed decision-making across the organization.
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The Senior Machine Learning Engineer at Wasabi will advance AI technologies, develop computer vision algorithms, and implement NLP model fine-tuning. This role involves collaborating with teams for seamless machine learning integration, conducting testing, debugging, and ensuring reliable system operations.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Risk Analyst, you will manage issue identification and escalation, develop frameworks for issue management, work with leadership on communication for committees, and enhance operational processes. Your role will involve building relationships across the organization to support compliance and risk management initiatives.
The Senior Data Scientist role at Agero focuses on leveraging statistical analyses and predictive modeling to enhance operational performance and customer satisfaction in dispatch services. This involves end-to-end project participation, from data exploration to result communication with various stakeholders.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
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