Top Data Engineer Jobs in Richmond, VA
Looking for a Senior Applied Scientist to improve targeting and optimization products by building production-level ML and data products, using machine learning models, and communicating effectively with various teams.
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.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models and components to solve real-world business problems. You will work collaboratively with cross-functional teams to ensure the high availability and performance of machine learning applications.
Collaborate with Agile teams to design, develop, and support technical solutions using Java, Scala, Python, RDBMS, and NoSQL databases. Drive transformation within Capital One by delivering cloud-based solutions. Minimum annual salary: $165,100. Maximum annual salary: $188,500.
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Ylopo, LLC is seeking a Data Architect with experience in Data Management, Data Modeling, ETL development, Data Warehousing, and Data Analysis. The role involves designing, developing, and implementing large-scale data structures, gathering business requirements, and collaborating with stakeholders to make data available for business use. The position is full-time and remote, based in Santa Monica, CA, with work hours of 8:00 AM - 4:00 PM PST.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define strategies, identify use cases, solicit requirements, build accurate models, and teach business teams.
Prominence is seeking a Data Architect/Cloud Data Architect with expertise in SQL and cloud technologies to build and deploy analytics solutions for healthcare providers. The ideal candidate must demonstrate the ability to tackle new technical challenges and design scalable data models at both data and architectural levels.
Join Prominence as a Data Visualization Consultant in healthcare technology strategy and implementation. Design and develop analytics applications in BI platforms like Tableau, QlikSense, Qlik View, and PowerBI. Work closely with healthcare customers to understand visualization requirements and provide best practice recommendations. Troubleshoot technical visualization build issues and refine visualization best practices. Full-time position with benefits and no relocation required.
As a Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, monitor latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, hands-on experience with deep neural networks at scale, strong coding skills, and a degree in Machine Learning, Math, Physics, or related field. Full-time remote work available in specified states with a base salary ranging from $250,000 to $315,000.
The Lead Analytics Engineer will spearhead the development and optimization of data analytics frameworks and infrastructure. Responsibilities include leadership, strategic planning, project management, technical implementation, collaboration, and continuous improvement. Qualifications include expertise in SQL, Snowflake, ETL, Airflow, and Dagster, with programming skills in Python and experience with GIT.
Lead the Machine Learning agenda for Dropbox's new initiatives by developing high-impact ML solutions using a variety of techniques across different platforms. Collaborate with cross-functional teams to create innovative products and shape the direction of machine learning at Dropbox.
Lead and grow a high-performing data science team, build scalable and reliable recommendation systems for the web, provide strategic direction for innovative personalization experiences, advocate for resources to advance data capabilities.
Top Companies in Richmond, VA Hiring Data + Analytics Roles
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