Top Remote Data Engineer Jobs in Hampton Roads, VA
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Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for strategic investment decisions. Partner with various stakeholders to refine growth strategy and inform investment decisions with data. Stay updated on the latest trends in machine learning and data science.
Seeking a Senior Machine Learning Engineer with expertise in attribution to expand Square's measurement system, partnering with various teams to drive growth and inform investment decisions with data, and staying updated on advancements in machine learning and data science.
As a Senior Data Engineer at dbt Labs, you will take the lead in building and owning data infrastructure, developing data pipelines, and ensuring data integrity and compliance. You will collaborate with various teams to provide data solutions and contribute to data architecture decisions.
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.
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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.
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.
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