As a Senior Mechanical Engineer, you will provide technical expertise and guidance to both internal teams and external clients in the data center sector. You will assist in client contact, increase mission critical work, and participate in all phases of projects from proposals to construction.
Remote Data Engineer Jobs (2,747)
Search = Data Engineer
Lead the design, development, and maintenance of data pipelines and analytical tools to support the Office of Head Start's grants management and decision-making. Supervise data-focused staff and coordinate with project managers to align technical delivery with federal policies and contract metrics.
Full Stack Engineer (Data & Python) (Indian Citizen only)
Codvo.ai
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Full Time
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11 Weeks Ago
Codvo.ai
Develop and maintain the Python codebase for the core automation engine, focusing on data ingestion, standardization, and matching algorithms. Build responsive frontend components using React.js and create complex report pipelines for Excel and PDF outputs.
Design and maintain the core automation engine for data ingestion, standardization, and matching logic. Develop automated report generation systems for Excel and PDF outputs while optimizing database queries.
Design and maintain the core automation engine for data ingestion, standardization, and matching logic. Develop automated report generation systems for Excel and PDF outputs while optimizing database queries.
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Develop and maintain the Python codebase for a core automation engine, focusing on data ingestion, standardization, and matching algorithms. Build responsive frontend components using React.js and create complex report pipelines for Excel and PDF outputs.
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.
The Principal Data Engineer will own the technical direction and architectural design of the data engineering platform, including ingestion, transformation, and storage. They will lead the technical roadmap, mentor engineers, and translate product goals into scalable engineering plans.
Design and maintain scalable data pipelines and ETL/ELT processes while migrating legacy systems to a modern cloud-native architecture. Lead the implementation of a greenfield data platform using Python, Kubernetes, and AI-assisted workflows.
Architect and build scalable data infrastructure to power agentic AI systems, including LLM-based agents and multi-agent workflows. Design robust batch and real-time pipelines for embeddings, RAG systems, and agent memory frameworks.
Design and optimize complex SQL Server solutions with a focus on performance tuning and data modeling. Automate processes using PowerShell and integrate systems via APIs and LLM-driven workflows.
Serve as a project manager and lead design engineer for large-scale hyperscale data center projects. Responsibilities include preparing design documents, processing calculations, and coordinating with clients and multidisciplinary teams.
Senior Data Engineer (ADB, Python)
Exadel Inc (Website)
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Full Time
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11 Weeks Ago
Exadel Inc (Website)
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.
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.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to optimize data handling and ensure the reliability of AI-driven tools.
Lead a high-performing data engineering team to build scalable, event-driven data infrastructure and pipelines. Design data models and architectures that support analytics, operational systems, and AI-enabled applications.
The role involves processing, refining, and analyzing data using ETL/ELT processes and integrations on cloud-based platforms. You will collaborate with clients, analysts, and other developers to ensure documented and managed development within client environments.
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Lead the data path for a healthcare scheduling platform rebuild by designing a clean target schema and building a translation layer from a legacy monolith. Manage the per-tenant data cutover and ensure data consistency and performance during the migration process.
Lead and mentor multiple data engineering teams in the design, build, and maintenance of high-quality data products using Databricks. Establish engineering standards, optimize Spark performance, and oversee the migration from legacy analytical platforms to a modern streaming architecture.
Shape the long-term technical strategy and architecture for Data Delivery and Stats & Analytics systems. Lead cross-team initiatives to build scalable data pipelines, APIs, and reporting systems that enable AI-powered marketing insights.
Lead a squad of data engineers to design and scale the organization's data foundation, including ingestion, transformation, and storage layers. Balance hands-on technical execution with strategic leadership, mentoring, and cross-functional partnership to deliver production-ready data systems.
Data Engineer, Mortgage Servicing
Lakeview Loan Servicing
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Full Time
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12 Weeks Ago
Lakeview Loan Servicing
Design and maintain scalable data pipelines and architectures to support mortgage servicing analytics, reporting, and AI development. Ensure data integrity and reconciliation across complex loan-level lifecycle systems in a regulated environment.
Architect and build core services, automation tools, and integrations to power a healthcare data ecosystem. Focus on improving pipeline reliability, observability, and developer experience through scalable backend services and APIs.
Design, build, and maintain scalable production-grade data systems and resilient pipelines to support analytics and machine learning. Collaborate with cross-functional teams to translate business needs into technical solutions while mentoring other engineers.
Design and maintain scalable data pipelines to integrate data from multiple sources and convert raw data into actionable business insights. Collaborate with data scientists and ML engineers to optimize data systems and ensure data accuracy and consistency.
Senior Data Engineer (m/w/d) – Datenplattformen & Pipelines
Tantive
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Full Time
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12 Weeks Ago
Tantive
Develop data architectures, pipelines, and integration solutions to ensure data quality and availability. Consult clients on implementing modern data platforms and create foundations for data-driven decision-making.
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Architect and scale end-to-end data and AI pipelines on GCP using Medallion architectures to transform telemetry data into analytics-ready assets. Integrate Gen AI capabilities like RAG and LLM-powered enrichment while leading CI/CD workflows and data governance practices.
Design and maintain scalable ELT pipelines and production-grade data models within a Snowflake-based ecosystem. Collaborate with cross-functional teams to translate business requirements into high-performance data solutions for analytics and ML.
Data Engineer, Azure - Remote, Latin America
Bluelight Consulting
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Full Time
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12 Weeks Ago
Bluelight Consulting
Develop and maintain ETL processes using Python and PySpark within Azure Synapse Analytics to ensure efficient data extraction and loading. Design and optimize data warehousing structures, including star schemas and data lakes, to enhance scalability and performance.
Design, build, and operate scalable data pipelines and infrastructure to ensure high-quality data for analytics and data science. This includes implementing MLOps automation and optimizing workflows for performance and cost.
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