Top Data Engineer Jobs in Minneapolis, MN
As a Data Engineer, you will build and operationalize complex data solutions, analyze data sources, collaborate on data products, and perform data/system analysis and testing to address issues. You will support the analytics landscape and help translate data insights into actionable solutions.
The Senior Database Administrator will provide oversight and maintenance of the firm’s databases, including Oracle and Postgres, ensuring high availability, performance, and troubleshooting production issues. Responsibilities include designing, installing, upgrading databases, as well as providing on-call support and collaborating with application teams on data design and migrations.
As a Field Data Collector, you will conduct parking data surveys by walking or biking through assigned locations, counting parking spots, taking photos, and entering notes using a mobile app. Your collected data will help in testing and improving parking data accuracy.
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As a Cloud Data Engineer at SDG, you will design and develop databases and data warehouses, maintain data integration tools and pipelines, and analyze data using various technologies. Your role involves leveraging cloud data integration tools and working closely with customers to ensure optimal data performance.
The Lead Data Engineer will oversee the design and construction of data pipelines, mentor a team of Data Engineers, enhance existing software programs, lead the adoption of new technologies, and ensure effective data solutions aligned with the firm's strategic goals.
The Data Engineering Manager will lead initiatives to improve Datasite's data architecture, oversee the development of data pipelines, and ensure high-quality data availability. This role involves collaborating with leadership to translate business needs into technical requirements, exploring new data tools, and managing a team focused on enhancing data observability and integrity.
The Senior Data Engineer is responsible for analyzing existing data sets, defining data requirements, and performing statistical modeling to improve decision-making processes. Key responsibilities include managing projects, coaching lower-level professionals, developing reports using SQL, and delivering analytic solutions while ensuring data quality and compliance with development standards.
The Senior Consultant - Staffing Services will provide expert services by evaluating system processes, recommending configurations, troubleshooting software systems, leading projects, and mentoring team members to meet client goals.
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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.
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As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.
The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.
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