Top Remote Data Engineer Jobs in Raleigh, NC
As a Senior Data Engineer at Headway, you will collaborate on the design and improvements of the data infrastructure, partner with product and engineering to advocate best practices, create data pipelines, and work with the Data Science team to create real-time data pipelines.
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.
Develop end-to-end ML applications to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Opportunity to impact real-world industries and work on scalable technology innovations.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the roadmap. Architect elegant and reusable components for AI solutions. Champion AI strategies and industry trends to company leadership.
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Lead a data-driven Marketing program using quantitative data and technology to attract and retain users. Manage a team of marketing data scientists and collaborate with various departments to drive corporate reporting and planning.
Seeking a Cloud Database Engineer passionate about database automation and building tools in a security-conscious environment. Responsible for designing and implementing database architectures, performance tuning, automation, backup procedures, data modeling, and providing guidance on best practices. Required to stay updated on technology trends and security patches, address security concerns, and participate in incident response. Must have experience with Kubernetes, Docker, Ruby on Rails, PostgreSQL, Node.js, Redis, Terraform, Jenkins, AWS (RDS and Aurora), and DataDog.
Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems. Collaborates with Data Scientists and Product Managers to enhance user experiences and provide valuable input into functional design. Preferred experience in using machine learning for recommendations and personalization.
As a Senior Data Engineer, you will develop high-quality, scalable data products for applied analytics solutions, focusing on Customer Experience data science modeling and reporting. You will collaborate with cross-functional teams and drive the adoption of cloud-first technologies and data engineering practices.
As a Professional Services Solution Architect at Zone & Co, you will work closely with clients to ensure project success and adoption of business intelligence solutions. Responsibilities include leading consulting projects, developing reports and dashboards, training clients on Power BI, and managing a team of developers. You will also provide exceptional client service and drive business decisions through data analysis.
Zone & Co is seeking a Business Intelligence Engineer with expertise in Power BI, Azure, and SQL. Responsibilities include data modeling, report creation, DAX and SQL scripting, integration, performance tuning, collaboration, and staying up-to-date with the latest BI trends.
Carenostics is looking for a Data Engineer with 3-5 years of experience in data analysis in healthcare data. The role involves ML engineering work for AI ML projects, data pipeline development, database management, and collaborating with clinical teams.
The Commerce Data Engineer is responsible for building and maintaining the data foundation of the Commerce business unit, automating and aggregating data from internal and external sources. They collaborate with analysts to create data models for business intelligence and analytics. The role requires expertise in database design, handling large data sets, cloud-based tools, visualization tools, and problem-solving skills.
Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Translate business problem statements into analysis requirements and collaborate with the team to measure customer experience. Develop queries, visualizations, troubleshoot data-quality issues, and recommend improvements to back-end data sources.
Top remote Companies in Raleigh-Durham, NC Hiring Data + Analytics Roles
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