Top Remote Data Engineer Jobs in Hartford, CT
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
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As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.
The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.
As a Staff/Senior Staff Data Engineer at Valo Health, you will lead the development of complex data transformation initiatives, integrating real-world data into analysis-ready products, while collaborating with scientists and engineers. Responsibilities include building data pipelines, maintaining data quality, and providing technical leadership within the data engineering team.
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
The Principal Data Privacy Consultant will assess compliance with data privacy regulations, develop privacy policies and documentation, conduct gap and maturity assessments, and provide advisory services to clients. This role involves mentoring colleagues and contributing to the growth of the data privacy consulting practice.
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The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.
Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
The Lead Database Engineer will design, implement, and maintain critical PostgreSQL database systems for a 24x7 SaaS platform, ensure database operations support business needs, mentor team members, and comply with HIPAA policies.
The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.
As a Senior Manager of Data Visualization Engineering, you will lead a team focusing on building and maintaining data visualization solutions, ensuring data integrity and security, and guiding the team towards innovative practices in data visualization. You will manage projects and collaborate with teams across the company to align data needs with overall business objectives.
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