Design instrumentation and control systems for data centers, including conceptual designs, detailed site designs, and retrofits. Coordinate with multidisciplinary teams and vendors to ensure Building Management Systems are properly designed and constructed.
Remote Data Engineer Jobs (2,551)
Search = Data Engineer
Lead the architecture and engineering of a centralized Finance reporting data platform using Databricks lakehouse and medallion architecture. Oversee the operationalization of month-end close processes and the creation of optimized datasets for Power BI reporting.
The role involves building and automating the next generation of the Jellyfish data platform, focusing on core data models and production-grade CI/CD pipelines. Responsibilities include maintaining Medallion layers, optimizing orchestration engines, and managing data infrastructure via Terraform.
Design, implement, and maintain scalable data pipelines and ELT workflows using a modern data stack. Collaborate with cross-functional teams to deliver data solutions and maintain robust dimensional models and CI/CD systems.
Manager, Data Engineer (Remote)
Arch Insurance Group Inc.
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Full Time
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1 Week Ago
Arch Insurance Group Inc.
Lead the end-to-end delivery of complex data pipelines and AI-ready data assets to support Claims Analytics. Manage and coach a team of data engineers while partnering with stakeholders to align priorities and scalable data solutions.
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Design, develop, and maintain scalable data pipelines and complex workflows using Airflow. Collaborate with business, analytics, and product teams to ensure data quality and availability across LATAM regions.
Design and maintain scalable data ingestion and transformation systems while building foundational end-to-end AI/ML workflows. Partner with data scientists and product managers to ensure reliable data pipelines and scalable analytics for behavioral health care.
Develop ETL processes using various AWS services including EMR, Step Functions, and Lambda. Resolve production incidents related to ETL components, focusing on scalability, memory failures, and timeouts.
Design and build a medallion architecture within Microsoft Fabric to transform raw data into business-ready data products. Own the technical foundation of the Data Hub platform, including the development of robust data pipelines and the definition of SLAs.
Design, build, and optimize large-scale production data pipelines and foundational data products to power the Healthcare Map. This includes developing LLM-powered extraction systems and transforming complex healthcare datasets into performant assets for AI/ML use cases.
Lead the design and execution of a new, high-scale enterprise data platform and storage architecture to replace legacy systems. Build production-grade code and mentor a team of data engineers to ensure metrics reliability and power AI-driven products.
Coach and mentor learners through 1:1 sessions and workshops to develop their data engineering skills. Guide learners in designing scalable, secure data solutions and connecting theoretical concepts to real-world workplace practice.
The role involves building custom data connectors and pipelines to feed high-quality, structured data into AI agents and RAG systems. You will also manage the AI Data Library and implement governance to ensure data quality and security.
Design, build, and maintain robust data pipelines to collect and process data from various sources for merchandising optimization. Collaborate with cross-functional teams to deliver data solutions that drive sales improvements and influence internal tooling standards.
Lead a small team in developing Python services for data integration and managing Airflow processes. Oversee the creation of SQL DWH and support the migration of data pipelines to Google Cloud Platform.
Configure and monitor MI Link for migrating SQL Server databases from on-premise to Azure SQL Managed Instance. Manage production cutovers, optimize database instances, and ensure financial sector security standards are met.
Develop and maintain scalable data pipelines and manage data warehousing solutions. Translate business requirements into technical specifications while migrating legacy systems to modern platforms.
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Develop and maintain the reporting stack, including ingestion pipelines, data warehouse architecture, and visualization tools. Manage data services and operations workflows, such as the voter file instance and Redshift instance.
Lead the architectural design and modernization of the data platform for the MAX Digital SaaS product, focusing on SQL Server and MongoDB systems. Drive performance optimization, define scalable data pipeline patterns, and mentor junior engineers to ensure operational resilience.
Design and develop scalable streaming and batch pipelines for ingesting structured and unstructured data into a Lakehouse. Lead technical initiatives, automate dataset lifecycles, and mentor other engineers across the organization.
Design and develop scalable streaming and batch pipelines for ingesting structured and unstructured data into a Lakehouse architecture. Lead technical initiatives, automate dataset lifecycles, and mentor other engineers to improve platform reliability and performance.
Design and maintain scalable ETL/ELT data pipelines and orchestration workflows using Python and DBT. Optimize the Elastic Hierarchy data framework and support data operations across SaaS and on-premise hybrid environments.
Design, develop, and maintain a Security Data Lake and scalable cloud data pipelines using GCP native services. Optimize database performance in BigQuery and integrate diverse security tools via APIs to centralize oversight.
Sr. Data Engineer, Investments
Fidelity & Guaranty Life Insurance Company
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Full Time
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1 Week Ago
Fidelity & Guaranty Life Insurance Company
Implement data integration architecture and develop ETL logic using Informatica, Snowflake, and Azure tools to support investment and hedging delivery teams. Collaborate with business partners to build scalable, maintainable technical solutions for processing and visualizing large datasets.
The Lead DevOps Engineer will define and implement a modern DevOps strategy, focusing on platform engineering and AI-assisted development. They will enhance CI/CD processes, integrate AI tools, and drive automation across the software delivery lifecycle.
Design and develop software solutions to integrate real-time measurement data from IoT devices and grid operator APIs into the Intelligent Grid Platform. Own the full integration lifecycle, including data ingestion, transformation, and optimization of streaming and batch workloads.
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Build and scale core data infrastructure, pipelines, and services to power products and analytics. Design and implement a robust data warehouse and curated data sets to support operational and research use cases.
Senior Data Engineer II
Principal Financial Group
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Full Time
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1 Week Ago
Principal Financial Group
Lead the movement of critical transaction data from source systems to enterprise analytics to drive scalable insights. Balance hands-on pipeline development with architectural design and technical leadership across a matrixed environment.
Design, build, and maintain batch and real-time data pipelines to extract and manipulate data from multiple sources. You will be responsible for automating data workflows and mentoring junior engineers to ensure data integrity and security.
Design and maintain scalable data pipelines and warehouse-first models using BigQuery and dbt to support eCommerce operations. Develop Looker dashboards and integrate data from platforms like Shopify, Klaviyo, and 3PL providers.
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