Top Data Engineer Jobs
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
The Lead Data Engineer will design and grow products and data warehouses, manage large data transformations using cloud technologies, build and maintain streaming data pipelines, and mentor a team while collaborating with stakeholders for effective data solutions.
The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.
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Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
The Lead Database Engineer will design, implement, and maintain critical PostgreSQL database systems for a 24x7 SaaS platform, ensure database operations support business needs, mentor team members, and comply with HIPAA policies.
The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.
The Data Architect will design and oversee a robust data infrastructure for legislative tracking, including managing data from diverse sources and ensuring efficient storage and retrieval using MongoDB. Responsibilities include overseeing database management, integrating data sources, and implementing automated data processing workflows.
The VP of Data Transformation will lead data store development, provide training and support to stakeholders, manage UAT processes, and analyze data to align with governance committees. Responsibilities include addressing bug fixes, enhancing reporting capabilities via Power BI, and coordinating the decommissioning of legacy systems.
This role involves designing and analyzing protein sequence data, coordinating data centralization, and supporting laboratory activities for antibody discovery. The candidate will collaborate with various teams, present research findings, and assist in patent submissions.
The Senior SQL Database Administrator will implement business continuity processes, focusing on performance tuning, and ensuring the availability and security of Microsoft SQL Server databases. Responsibilities include technical troubleshooting, disaster recovery planning, and collaborating with stakeholders to enhance database design and performance.
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