Top Data Engineer Jobs in Minneapolis, MN
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The Senior Database Administrator and Performance Engineer will oversee the performance, availability, and restorability of database servers for SaaS applications in AWS. Responsibilities include monitoring transactions, optimizing indexes, troubleshooting performance issues, collaborating on database design, and ensuring data durability and integrity through effective backup and recovery processes.
As a Senior Backend and Data Engineer at Kunai, you'll work on a SCRUM team to develop and support backend services and features for a payments platform. The role involves migrating from a microservices architecture to a scalable data-centric solution, leveraging Java, Spark, and Cassandra, along with cloud services for orchestration.
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.
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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.
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.
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
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.
The Senior AWS Data Engineer will expand and optimize data and data pipeline architecture, ensuring optimal data delivery for cross-functional teams. Responsibilities include designing ETL workflows, managing data lake schemas, coding transformation logic, and implementing standards for data ingestion and security.
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