Build and manage data sets, pipelines, transformations, and APIs to deliver dimensional data on music concepts to business users. Own features through the full development lifecycle, ensuring solutions are scalable, maintainable, and reliable.
Remote Data Engineer Jobs (2,747)
Search = Data Engineer
Implement and maintain internal AI-powered tools and data systems, transforming prototypes into production-grade applications. Manage the underlying infrastructure, including deployment, monitoring, and data quality practices.
Serve as the primary technical authority for the Enterprise Data Analytics Platform, owning end-to-end architecture and driving complex engineering initiatives. Lead the technical vision, define engineering standards, and mentor engineers across the organization.
Design and maintain Power BI datasets, semantic models, and reports to support scalable healthcare analytics. Build and optimize data pipelines using SQL and Azure-based tools while ensuring compliance with PHI security standards.
Develop and operate a scalable, secure, and performant data platform on Bare-Metal Kubernetes. Focus on automating data operations, ensuring high availability, and collaborating with developers to optimize data access patterns.
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Build and maintain data pipelines, models, and dashboards to transform data into actionable insights for product and business stakeholders. Partner cross-functionally to define metrics, measure customer engagement, and evaluate business initiatives.
Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems
Block
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Full Time
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8 Weeks Ago
Block
Build and operate production ML systems that transform customer behavior and product context into trusted signals for ranking, recommendations, and decisioning. Design signal contracts and own the end-to-end lifecycle of customer intelligence systems from feature generation to monitoring.
Own the full lifecycle of partner data including ingestion, transformation, and reconciliation while ensuring strict SLA compliance. Lead data architecture decisions and collaborate across teams to deliver AI-first, scalable integration solutions.
Healthcare Data Integration Engineer (FHIR / OMOP)
John Snow Labs
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Full Time
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8 Weeks Ago
John Snow Labs
Lead clinical data integration efforts by designing and implementing data ingestion pipelines to connect client systems to the platform. Transform healthcare data into standardized models like OMOP CDM for analytics and AI applications.
Develop and maintain scalable ETL pipelines and data models to transform raw data into actionable insights. Collaborate with data scientists and stakeholders to implement machine learning models and ensure data quality.
Design and maintain high-volume, performance-sensitive backend systems for data processing and measurement. Lead the migration from legacy monoliths to domain-based, event-driven architectures.
Design and maintain high-volume, performance-sensitive backend systems for data processing and measurement. Lead the migration from legacy monoliths to domain-based, event-driven architectures.
Lead the architectural modernization and operational stability of data infrastructure within FedRAMP environments. Act as the primary technical bridge between the R&D group and US-based Federal Operations to ensure scalability and compliance.
Design and maintain high-volume, performance-sensitive backend systems for data processing and measurement. Lead the migration from legacy monoliths to domain-based, event-driven architectures.
Lead the data science, analytics, and data engineering efforts for venture start-ups, turning raw concepts into functional MVPs. Collaborate with product and engineering teams to design data pipelines and implement scalable AI/ML solutions.
Data System Engineer III
Franciscan Alliance, Inc.
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Full Time
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8 Weeks Ago
Franciscan Alliance, Inc.
Design, automate, and scale the deployment of enterprise data and analytics platforms using CI/CD pipelines and infrastructure-as-code. Manage the migration to GitHub and standardize environment promotion strategies across dev, test, and production environments.
Design, build, and maintain scalable infrastructure and frameworks for data ingestion, processing, and analysis. Collaborate with cross-functional teams to architect data solutions using modern big data technologies and cloud services.
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Design and deploy modern data platforms using Azure Databricks and Microsoft Fabric to power enterprise analytics. Act as a technical advisor to customers, translating business needs into scalable, production-ready data solutions.
Design, build, and maintain scalable infrastructure and frameworks for data ingestion, processing, and analysis. Collaborate with cross-functional teams to architect data solutions using modern big data technologies to drive business impact.
Define platform standards and lead complex cross-domain initiatives to modernize Zocdoc's data infrastructure. Focus on architecting orchestration, monitoring, and governance systems to ensure secure and cost-efficient data operations.
Design and maintain high-volume, performance-sensitive backend systems for data processing and measurement. Lead the migration from legacy monoliths to domain-based, event-driven architectures.
Design and maintain high-volume, performance-sensitive backend systems for data processing and measurement. Contribute to the migration from a legacy monolith to a domain-based, event-driven architecture.
Design and maintain high-volume, performance-sensitive backend systems for data processing and measurement. Lead the migration from legacy monoliths to domain-based, event-driven architectures.
Design and maintain high-volume, performance-sensitive backend systems for data processing and measurement. Lead the migration from legacy monoliths to domain-based, event-driven architectures.
Design and maintain scalable real-time data pipelines and a high-performance ClickHouse warehouse to support AI agents and analytical needs. Own the end-to-end feature-serving layer and implement data contracts to ensure seamless multi-tenant scaling.
Working Student — Data Support Engineer
Parqet Fintech GmbH
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Full Time
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8 Weeks Ago
Parqet Fintech GmbH
The role involves improving Parqet's data quality through automated procurement and correction of asset data. Additionally, the engineer will handle user data issues via email and collaborate with developers and product management.
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Principal Operations Engineer, Controls — Data Center Operations
Fluidstack
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Full Time
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9 Weeks Ago
Fluidstack
Serve as the senior technical authority for BMS, EPMS, and PLC systems across a hyperscale AI data center portfolio. Lead operational audits, oversee controls readiness for new sites, and feed operational learnings back into the design and manufacturing process.
Principal Operations Engineer, Electrical — Data Center Operations
Fluidstack
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Full Time
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9 Weeks Ago
Fluidstack
Serve as the senior technical authority for electrical infrastructure across a hyperscale AI data center portfolio, leading site audits and operational readiness. You will bridge the gap between operations and design, ensuring reliability and feeding operational learnings back into repeatable build models.
Principal Operations Engineer, Mechanical — Data Center Operations
Fluidstack
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Full Time
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9 Weeks Ago
Fluidstack
Serve as the senior technical authority for mechanical and cooling infrastructure across a hyperscale AI data center portfolio. Lead site audits, review operational designs, and author high-risk procedures to ensure maximum reliability and efficiency.
This role involves building and maintaining an internal data warehouse that aggregates data from various source systems. The engineer will also create dynamic reports to facilitate complex business analyses and ensure data accuracy across business groups.
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