Top Remote Data Engineer Jobs in NYC, NY
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.
Seeking a highly skilled and motivated Big Data Engineer to join the data engineering organization at Basis Technologies. Responsibilities include integrating data sources, automating ETL deployment tasks, designing scalable data pipelines, and monitoring pipeline performance.
Seeking a collaborative Senior Data Engineer with strong experience in data modeling, SQL, Python, DBT, and Snowflake. Responsibilities include mentoring junior data engineers, building data transformations, and optimizing ETL jobs for processing large amounts of data. Must have 6+ years of experience in data engineering, a Bachelor’s degree in computer science, and proficiency in cloud native infrastructure (Azure), Docker, and object-oriented programming.
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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.
Prominence is seeking a Data Engineer with 5+ years of experience to assist with dimensional data modeling development for a healthcare data architecture project. Responsibilities include implementing and optimizing EMR workflows, mentoring customers, translating business requirements into system configuration, and leading project coordination. Desired qualifications include active certification in Cogito Data Model, Caboodle Developer, and 5+ years of experience as an Epic BI Developer or Data Engineer.
As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. You will provide technical leadership, guide engineers, collaborate with cross-functional teams, and write high-quality, maintainable code. You should have a strong background in Machine Learning frameworks, including Pytorch, Tensorflow, and NLP. Additionally, you should have experience building machine learning models and a proven track record of technical leadership.
Partner with stakeholders to translate business problems into actionable machine learning solutions, develop data pipelines, write clean, production-ready code, design and conduct experiments to evaluate models' performance
Lead strategic execution around ML systems, training infrastructure, and deploying large models in the AI Foundations organization at Cruise. Collaborate with ML teams, define execution processes, analyze modeling results, and own technical projects from start to finish.
As a Data Engineer at Kustomer, you will be responsible for leveraging advanced data-engineering techniques to enhance data architecture and streamline data-ingestion processes. Your expertise will improve data-driven product offerings and provide valuable insights for strategic decision-making.
Lead the implementation of Master Data Management solutions using Oracle technologies. Collaborate with teams to address various business requirements and drive success through data and analytics. Provide thought leadership and guidance in MDM implementations across different sectors.
Design, build and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead impactful projects, demonstrate high code quality, collaborate with cross-functional teams, and creatively solve technical problems at scale. Mentor and support fellow engineers for development capabilities growth.
Top remote Companies in New York City, NY Hiring Data + Analytics Roles
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