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.
Remote Data Engineer Jobs (2,431)
Search = Data Engineer
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.
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Principal Consultant - Azure Data Engineer (GenAI)
BrightClaim
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Full Time
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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.
Data Engineer – MS Fabric Developer
Architecture in Motion Inc.
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Full Time
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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.
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.
The Senior Data Engineer is responsible for designing, managing, and optimizing enterprise data pipelines and database solutions across Azure, SQL Server, and Snowflake. They will build ETL/ELT processes and data warehouse solutions to enable trusted analytics and reporting for various business lines.
Senior Data Engineer
Century Mechanical Holdings
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Full Time
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3 Weeks Ago
Century Mechanical Holdings
Lead enterprise data strategy, governance, and transformation initiatives to ensure data integrity and compliance. Oversee system implementations and migrations while collaborating cross-functionally to deliver scalable data solutions.
Develop and optimize data pipeline architectures and ETL processes to support cross-functional teams and data initiatives. Build analytical tools and infrastructure using AWS and SQL to provide actionable business insights and improve scalability.
Lead and mentor Data Operations and Analytics Engineering teams to ensure the reliability and performance of a Databricks-based data platform. Set technical direction and oversee the design of data models and transformations for business intelligence use cases.
Design and operationalize reusable AI-enabled capabilities and agentic workflows to support high-priority scientific research needs. Partner with cross-functional scientific teams to translate complex biological questions into rigorous AI specifications and evaluation frameworks.
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Design and implement a BigQuery data warehouse from the ground up, including project structure and cost controls. Build the transformation layer using dbt and establish ingestion pipelines for SaaS and operational data sources.
Design and scale the data platform, including the development of ETL/ELT pipelines and workflow orchestration. Partner with cross-functional teams to implement data models and dashboards that enable business intelligence and analytics.
Senior Software Engineer, Data Centralization & Storage
Attentive
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Full Time
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3 Weeks Ago
Attentive
Architect high-throughput solutions and a self-service platform to support AI, ML, and analytics goals. Unify data from diverse systems to enable experimentation and maintain high standards of data governance.
Serve as the technical anchor and architect for the core consumer experience platform, overseeing high-performance Java services and Databricks ETL pipelines. Lead the development of secure APIs and enterprise healthcare integrations with EMR systems using FHIR standards.
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