Design and optimize high-throughput distributed data systems and real-time pipelines to power analytics and AI. Act as a technical leader by mentoring engineers and shaping the architectural foundation of the data platform.
Remote Data Engineer Jobs (2,552)
Search = Data Engineer
Design and build scalable, resilient, and fault-tolerant data architectures for innovative client products. Collaborate within cross-functional teams to deliver data-driven solutions in a fast-paced engineering environment.
Design and maintain end-to-end data orchestration using Azure Data Factory and Databricks Workflows. Build and optimize modular transformation layers using dbt while ensuring high data integrity and reliability.
The Senior Engineer will lead the design and implementation of scalable software systems for Generative AI applications and collaborate with various teams to translate algorithms into production-ready solutions. They will also optimize workflows, conduct code reviews, and contribute to the security measures of the systems.
Senior Data Engineer with Exp in Snowflake & Amazon QuickSight(5+ Years of Exp)
3Pillar
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Full Time
·
2 Weeks Ago
3Pillar
The Senior Data Engineer will design, develop, and optimize scalable ETL/ELT pipelines for enterprise data platforms. They will also collaborate with cross-functional teams to support reporting requirements and ensure data accuracy and reliability.
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Lead the implementation of scalable infrastructure and distributed architectures to power biomedical data analysis. Bridge the gap between complex biological science and software engineering while ensuring strict compliance with European data protection standards.
Design, develop, and maintain scalable data pipelines and analytics solutions within the GCP environment. Focus on collecting and analyzing LLM token usage data to optimize AI consumption patterns and operational efficiency.
Design, develop, and maintain end-to-end ETL/ELT pipelines and large-scale data processing frameworks using Python and PySpark. Architect and manage cost-efficient data solutions within the GCP ecosystem, including data warehouse and data lake architectures.
Develop and maintain ETL processes using DataStage while optimizing loads and performance. Provide support for incident resolution and participate in continuous improvement and evolutionary projects.
Design and optimize scalable data pipelines and end-to-end ML systems for SaaS use cases such as churn and recommendations. Own the full ML lifecycle from feature engineering to production deployment, monitoring, and retraining.
Design, build, and operate scalable batch and streaming data pipelines using Databricks and Spark. Implement data models and schema optimizations to ensure high-performance data processing for large datasets.
Design, build, and maintain scalable ETL/ELT pipelines and data workflows to transform raw data into actionable business insights. Collaborate with cross-functional teams to develop reporting solutions and optimize data processing performance.
Own and evolve the data warehouse architecture using BigQuery to support product, growth, and company decision-making. Build reliable data pipelines and reporting workflows while partnering with engineering on event instrumentation and tracking quality.
Principal Consultant - Azure Data Engineer (GenAI)
BrightClaim
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Full Time
·
3 Weeks Ago
BrightClaim
Design, build, and maintain scalable data pipelines and platforms on Azure to power business intelligence and AI-driven solutions. Collaborate with AI/ML teams to engineer feature stores and pipelines that support Generative AI models.
Lead the design and implementation of data architecture, scalable pipelines, and storage solutions to support business intelligence. Provide technical leadership and mentorship to junior engineers while ensuring data quality and security compliance.
Design and deliver scalable data platforms, pipelines, and lakehouse solutions while translating architecture into production-ready implementations. Lead requirements gathering and manage end-to-end delivery to enable data science and reporting teams.
Design and optimize heat rejection and HVAC systems specifically for data centers, ensuring redundancy, energy efficiency, and fault tolerance. Conduct CFD analysis and heat load calculations to optimize airflow and cooling capacity for critical IT infrastructure.
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Data Engineer – MS Fabric Developer
Architecture in Motion Inc.
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Full Time
·
3 Weeks Ago
Architecture in Motion Inc.
Design, develop, and maintain scalable data pipelines and Spark Notebooks within the Microsoft Fabric ecosystem. Collaborate with analysts and architects to implement Bronze, Silver, and Gold data architectures for enterprise reporting.
Design and build a scalable ingestion layer and reusable pipeline templates for a Customer Data Platform. Own the end-to-end ETL and Reverse ETL processes, including integrations with external casino platforms and ESPs.
Design, develop, and maintain scalable backend services and API integrations between third-party platforms and internal systems. Manage AWS serverless infrastructure and ensure the reliability of integration services through monitoring and automated testing.
The Sales Engineer is responsible for driving profitable revenue growth within designated coverage areas. This includes managing relationships and selling industrial services to data centers and general contractors.
The Sales Engineer is responsible for driving profitable revenue growth within designated coverage areas. This involves managing relationships and delivering industrial services specifically for data centers and industrial water sectors.
Own and evolve the People Data Platform and HR analytics infrastructure using Python and Streamlit. Lead the integration of AI-driven HR solutions and act as the subject matter expert for agentic AI adoption globally.
Collaborate with blockchain engineers to index data and create robust pipelines for the Solana ecosystem. Formulate informative metrics regarding decentralization, transaction performance, and economics to inform releases and app development.
Design and govern a multi-cloud infrastructure strategy across Azure, AWS, and GCP to support enterprise applications and AI/ML workloads. Lead the modernization of cloud workloads, implement zero-trust security for IT/OT boundaries, and establish FinOps practices for cost optimization.
Own and evolve the data platform while building reliable pipelines to support forecasting and analytics for the Flex product. Collaborate with data scientists and stakeholders to ensure data quality, trust, and self-serve analytics capabilities.
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Design and implement scalable data systems in collaboration with client teams and vendors. Manage and optimize data flows using an Agile methodology.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to deliver high-quality software solutions and maintain comprehensive technical documentation.
Lead the integration of strategic platforms and design robust data pipelines to support an end-to-end labor optimization model. Collaborate with cross-functional teams to develop scalable data architecture and ensure data quality and governance across the organization.
Implement and deploy a designed AWS data platform to a working MVP for a customer in Japan. Own the platform's long-term operation, including reliability, performance, and design evolution.
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