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Top Data Engineer Jobs in Denver & Boulder, CO
As a Data Engineer, you will build and maintain essential data infrastructure for marketing, creating data pipelines and collaborating with analytics teams to ensure accurate data handling. You will analyze data sources and improve pipeline efficiency while addressing data discrepancies in a high-impact environment.
The Data Engineer will work on building and maintaining data infrastructure for Marketing, focusing on creating data pipelines and processes for accurate business reporting, collaborating with various teams to integrate and analyze data, and ensuring high-quality data management.
As the Director of Consumer Insights & Data Analytics, you will lead research into consumer behaviors and drive insights to enhance marketing strategies. Responsibilities include optimizing the customer journey, analyzing user behavior, developing reporting frameworks, and implementing data-driven decision-making processes. You will oversee digital analytics education and ensure effective data usage across the organization.
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Lead the advancement of a modern data lakehouse, translate requirements into effective data models, develop in data technologies, manage project life cycle activities, collaborate with team members, and mentor other Engineers. On-call support as needed.
The People Operations Specialist will oversee and maintain PX tools, analyze people data, enhance operational effectiveness, and ensure compliance with regulations. Responsibilities include troubleshooting system issues, generating reports, streamlining processes, and managing HRIS projects.
The Data Engineer will design, develop, and optimize data pipelines and storage solutions for enterprise data assets, utilize Azure Cloud technologies, and ensure data quality and security while collaborating with cross-functional teams and mentoring junior staff.
As a Data and Analytics Management Consultant, you will lead projects that drive design and execution of analytics strategies, collaborate with clients to address business challenges, contribute to the consulting practice, and mentor junior consultants, all while supporting growth in a dynamic firm.
As a Senior Machine Learning Engineer, you will lead data projects for new machine learning products, improve predictive features, and collaborate with teams to integrate AI technologies into product offerings. You will evaluate algorithm performance and develop machine learning pipelines for data products, influencing company policies in the AI landscape.
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