Administer a cloud data warehouse platform focusing on security, performance tuning, and cost governance. Design scalable data architectures and maintain robust ETL/ELT pipelines using version control and CI/CD practices.
Remote Data Engineer Jobs (2,742)
Search = Data Engineer
Senior Data Engineer (all genders)
Kaufland e-commerce
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Full Time
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3 Weeks Ago
Kaufland e-commerce
Design, develop, and maintain the streaming and CDC backbone using Apache Kafka and BigQuery while driving end-to-end architectural initiatives. Manage platform observability, CI/CD pipelines, and implement FinOps practices to optimize cloud costs.
Design, build, and maintain end-to-end data pipelines and a data warehouse to power reporting, BI, and AI features. Lead the re-architecture of the data transformation layer and collaborate with product teams to create well-modeled dbt marts.
![Software Mind is hiring for remote [GFA] Azure Senior Data Engineer](/assets/2083550c-5c59-4fae-b76e-a23e4817e5f2.jpeg){kind=small}
Develop reusable, metadata-driven data pipelines and comprehensive data models using Databricks Lakehouse architecture. Implement robust ETL/ELT solutions and event-driven integrations to evolve the Azure-based Data Analytics Platform.
Design and maintain robust data ingestion and transformation pipelines to supply a knowledge graph analytics platform. Collaborate with data scientists to align source data processing with graph modeling and entity resolution requirements.
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Lead the implementation of data receipt agreements and configure import procedures for clinical trial data ingestion. Manage electronic data timelines, ensure regulatory compliance, and mentor team members to drive process improvements.
Lead the technical design and delivery of enterprise-scale cloud-native data platforms and serverless applications on AWS. Drive engineering excellence through technical governance, mentoring multidisciplinary teams, and implementing secure, scalable data pipelines.
The role involves managing Oracle Hyperion/EPM infrastructure, including installation, configuration, and patching. It also requires developing and optimizing Essbase cubes and Planning rules while mentoring junior engineers.
The role involves designing and implementing scalable data architecture and managing ETL/ELT pipelines to support business outcomes. Additionally, the engineer will drive data governance and optimize data performance and quality across operational and analytical stores.
Data Engineer (SQL) - Costa Rica
ActiveProspect, Inc.
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Full Time
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3 Weeks Ago
ActiveProspect, Inc.
Design, build, and maintain scalable data pipelines and analytical data models using a modern data stack. Ensure data accuracy and reliability for reporting and business decisions through proactive monitoring and Level 1 support.
Build and scale a data lakehouse on AWS to support financial analytics, reporting, and AI-driven product features. Develop robust ETL/ELT pipelines and integrate vector databases to enable semantic search and machine learning capabilities.
Design and optimize technical solutions for ITAM, SAM, and CMDB within ServiceNow to ensure data accuracy and reliability. Collaborate with cross-functional teams to automate integrations and support internal and external audits.
Administer a cloud data warehouse platform focusing on security, cost governance, and performance tuning. Design scalable data architectures and maintain robust ETL/ELT pipelines using version control and CI/CD practices.
Design and maintain end-to-end data pipelines to transform raw military healthcare data into actionable intelligence. Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets while ensuring compliance with DoD and NIST frameworks.
Drive the lifecycle of internal PaaS and SaaS products while overseeing technical engineering teams and managing cloud budgets. Ensure system availability and lead initiatives across data platforms, AI automation, and security compliance.
Architect and build scalable, cloud-native data infrastructure to transform raw data into high-value assets. Develop a world-class customer data platform to power analytics for digital products and fan engagement.
Deploy and maintain data pipelines and infrastructure to support the Customer Data Platform and digital activation throughout the customer lifecycle. Collaborate with stakeholders to optimize data ingestion, build audience segments, and improve Customer Experience KPIs.
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Design and implement a medallion architecture using dbt and Microsoft Fabric to support self-serve analytics. Build robust data ingestion pipelines and establish governance, lineage, and quality checks.
Build and operate secure, multi-tenant data pipelines and APIs to power AI products for Fortune 500 companies. Ensure data reliability and security through automated testing, monitoring, and compliance with SOC 2 and ISO 27001 standards.
Lead a team of data engineers in designing and implementing modern data solutions using Microsoft Fabric and Azure platforms. Responsible for technical leadership, architecture blueprinting, and mentoring junior engineers to ensure data quality and compliance.
Build and activate company-wide data assets in Snowflake by creating reliable data models and pipelines using DBT. Collaborate with stakeholders to design metrics and dimensions that enable self-service analysis and drive business decisions.
Build and define a company-wide data asset in Snowflake by creating reliable data models and pipelines using DBT. Collaborate with stakeholders to design metrics and dimensions that enable self-service analysis and trusted KPI reporting.
Build and activate company-wide data assets in Snowflake by creating reliable data models and pipelines using DBT. Collaborate with stakeholders to design metrics and dimensions that enable self-service analysis and trusted KPI reporting.
Build and maintain scalable ETL/ELT pipelines and data models to support business analytics and product features. Collaborate with cross-functional teams to ensure data quality, security, and performance optimization across the data ecosystem.
Build and maintain scalable ETL/ELT pipelines and data models to support business analytics and product features. Collaborate with cross-functional teams to ensure data quality, security, and performance optimization across the data ecosystem.
Design and develop solutions for data collection, storage, and modeling to ensure high data quality and accessibility for analysts and scientists. Contribute to Big Data cluster standards, data policies, and maintain technological watch on programming languages.
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Design and develop scalable data pipelines and ETL routines using Databricks on Azure to support federal emergency management systems. Collaborate with stakeholders to translate data needs into technical requirements and maintain data flows for BI and machine learning pipelines.
Design and develop scalable data pipelines and ETL routines using Databricks on Azure to support federal emergency management systems. Collaborate with stakeholders to translate complex data needs into actionable analytics and machine learning solutions.
Senior Full-Stack Software Engineer (Data & Migrations)
Redhorse Corporation
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Full Time
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3 Weeks Ago
Redhorse Corporation
Lead the modernization of a legacy Oracle-based platform into a PostgreSQL ecosystem using AI-led development tools. Design migration pipelines and build full-stack capabilities including React UIs and Node.js APIs.
Mid-Level Full-Stack Software Engineer (Data & Migrations)
Redhorse Corporation
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Full Time
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3 Weeks Ago
Redhorse Corporation
Lead the modernization of a legacy Oracle-based platform into a PostgreSQL ecosystem using AI-led development tools. Develop full-stack capabilities including React UIs and Node.js APIs while ensuring financial-grade data migration and integrity.
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