Own the organization-wide data architecture, defining standards and patterns for IoT ingestion, storage, and processing infrastructure. Provide design oversight to engineering teams and partner with leadership to drive strategic data initiatives and AI/ML infrastructure.
Remote Data Engineer Jobs (2,551)
Search = Data Engineer
Lead the evolution of core healthcare data assets by transforming raw data into high-quality intelligence products. Collaborate with product managers and stakeholders to develop data roadmaps and mentor junior data engineers.
Build and maintain a Data AI agent to automate data analysis use cases and reduce manual work. Lead the software development lifecycle by partnering with stakeholders, designing architecture, and mentoring other engineers.
Design and implement scalable data infrastructure and Medallion architecture within a Lakehouse environment to power AI and analytics. Develop robust ETL/ELT pipelines and collaborate with cross-functional teams to optimize data delivery and automate workflows.
Build and operate an enterprise Unified Data Layer by engineering batch, CDC, and streaming pipelines across IT and OT environments. Design scalable data models and secure pipelines to enable BI, ML, and AI solutions for various corporate functions.
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Design and develop data pipelines, marts, and schemas to support data warehousing and analytical requirements. Troubleshoot production data issues and mentor other data engineers while collaborating with business users and IT groups.
Data Engineer / Azure Fabric Engineer Consultant
Interlink Cloud Advisors, Inc.
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Full Time
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4 Weeks Ago
Interlink Cloud Advisors, Inc.
Lead the design and implementation of scalable data platforms and AI-enabled analytics using Microsoft Azure and Fabric. Translate business goals into technical delivery plans, ensuring secure, governed, and operationally ready data pipelines.
Remote Oncology Data Engineer - Precision Medicine - Dallas, Tx
The US Oncology Network
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Full Time
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4 Weeks Ago
The US Oncology Network
Design and maintain robust ETL pipelines and data architecture to support precision medicine and informatics decision-making. Integrate AI functionalities and LLMs into data platforms while collaborating with cross-functional teams to implement technical solutions.
Design and build scalable data pipelines and a normalization layer to support machine learning models. Collaborate with data scientists to optimize data retrieval, ensure data integrity, and implement ETL/ELT processes.
Develop and maintain data pipelines and models to support quantum navigation solutions and simulation data integration. Collaborate cross-functionally to provide data observability, technical documentation, and lightweight dashboards for diverse stakeholders.
Lead the design, development, and optimization of enterprise-grade data solutions within the Microsoft Fabric ecosystem. Collaborate with cross-functional teams to orchestrate complex integrations and establish data governance frameworks.
Manage the lifecycle and firmware updates of server hardware while troubleshooting infrastructure and connectivity issues. Collaborate with cross-functional teams to standardize hardware configurations and develop operational procedures.
The Data Engineer will design and optimize enterprise data models using dimensional modeling to support business processes. They will collaborate with the engineering team and stakeholders to build high-performance, low-cost database architectures.
Design, develop, and maintain databases and ETL systems to support business intelligence and enterprise applications. Lead the creation of technical designs for scalable data platforms and deploy reporting dashboards to improve operational efficiency.
Senior Software Engineer - Data Backend (Search Quality) (Remote - Ireland)
Yelp, Inc
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Full Time
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4 Weeks Ago
Yelp, Inc
Build and support backend platforms to enable prototyping, testing, and scaling of next-generation search systems. Collaborate with cross-functional teams to develop efficient systems for search annotations, recall, and LLM-backed experiences.
Senior Data Engineer (Databricks, SQL)
Exadel Inc (Website)
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Full Time
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4 Weeks Ago
Exadel Inc (Website)
Design and implement scalable data pipelines and lakehouse architectures using Databricks and Spark. Execute the migration from Azure Synapse to Databricks while optimizing data warehouses for BI workloads.
Design and implement scalable backend data pipelines and frameworks for the Sophos Central platform. Collaborate with cross-functional teams to ensure high-performance data ingestion, storage, and retrieval for cybersecurity products.
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Design, implement, and optimize scalable data solutions and pipelines within Snowflake for various clients. Lead modernization initiatives and serve as a subject matter expert in performance tuning and cost optimization.
Own the analytics data architecture and reporting layer to power business decisions and merchant data. Lead the design of data pipelines from product engineering into Snowflake and manage Python-based ingestion jobs on AWS.
Develop and maintain data pipelines within an Azure environment, focusing on Azure SQL Pools and Databricks. The role involves optimizing SQL queries, performing performance tuning, and orchestrating workflows using Synapse Pipelines.
Design and build scalable data pipelines using Azure Data Factory and Databricks to provision data into a Lakehouse architecture. Collaborate in Agile teams to migrate legacy databases to the cloud and optimize large datasets for analytical users.
Own and evolve the core data platform, including warehouse design, production pipelines, and the transformation layer. Partner with backend engineers to ensure clean data at the source and refactor critical data flows to reduce technical debt.
Build and maintain the core data platform infrastructure, including the data lakehouse and transformation layers. Partner with product engineering to establish data contracts and enhance system observability and performance.
Develop and maintain a scalable, cloud-based data platform and robust data pipelines to support regulatory reporting and analytics. Collaborate with cross-functional teams to design high-quality data models and implement monitoring components for data reliability.
Build and maintain robust, scalable cloud-based data pipelines and a lakehouse architecture to support regulatory reporting and analytics. Collaborate with cross-functional teams to develop high-quality data models and ensure the reliability of data processing solutions.
Design, build, and maintain streaming and batch data pipelines to serve as the foundational source of truth for the company. Collaborate with stakeholders to deliver high-quality data products and embed AI intelligence into the platform.
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Lead the analysis of enterprise data landscapes to translate fragmented system data into structured, decision-ready insights. Build Snowflake-based analytical layers and map end-to-end data flows to support AI enablement and process transformation.
Design, build, and maintain scalable data pipelines and transformation architectures to power grid analytics products. Collaborate with cross-functional teams to establish data engineering standards and mentor other engineers on modelling and architecture.
The Senior Commissioning Engineer leads the project quality and commissioning program while serving as the primary point of contact for all site-related quality matters. They are responsible for monitoring testing processes, managing documentation, and ensuring project milestones align with the master schedule.
You will design, build, and optimize scalable data pipelines and architectures to support data-driven decision-making across various business domains. Additionally, you will collaborate with cross-functional teams to translate business requirements into reliable, high-performance technical solutions.
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