Design and implement scalable, cost-effective data solutions and pipelines within Snowflake for clients. Lead technical delivery, perform performance tuning, and mentor junior engineers in a consultative capacity.
Remote Data Engineer Jobs (2,745)
Search = Data Engineer
Design and build the AWS-native data foundation for enterprise AI applications, focusing on knowledge graphs and semantic layers. Lead the engineering of retrieval corpora and pipelines to improve grounding quality and AI reasoning.
Oversee data processing architectures to convert structured and unstructured data into enterprise-scale insights. Lead the development of the PCO Analytics data warehouse using Medallion architecture and establish governed information architecture processes.
Senior Data Engineer - Data Platform
SunStrong Management, LLC
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Full Time
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3 Weeks Ago
SunStrong Management, LLC
Design and operate scalable batch and streaming data pipelines to power analytics and operational workflows. Develop curated data models and implement quality frameworks to ensure reliable, well-governed data access for internal stakeholders.
Design and build scalable data pipelines, integrations, and architectures to support a modern data ecosystem. Collaborate with data scientists to operationalize machine learning models and implement MLOps standards for production-grade AI initiatives.
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Design and build scalable data pipelines and advanced data models to support analytics and machine learning. Lead technical design reviews and mentor the team on engineering best practices and operational reliability.
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.
Define and own the strategic architecture of the data platform to enable scalable analytics and machine learning. Lead the design of next-generation data pipelines while establishing company-wide standards for data quality and governance.
Develop and maintain end-to-end data pipelines, Spark-driven workflows, and data APIs to support advanced analytics and automation. Build MCP servers and AI agents to integrate agentic workflows into the data engineering lifecycle.
Design and maintain scalable ELT/ETL pipelines and data models to enable financial visibility and cloud cost optimization. Own the schema design for a Cloud Economics data warehouse and provide high-quality datasets for executive financial reporting.
Design and implement Snowflake-native data architectures and complex end-to-end data pipelines. Lead technical design, mentor junior engineers, and collaborate with stakeholders to deliver scalable data products.
Drive the architectural direction and technical decisions for BILL's core data platform, focusing on scalable infrastructure for ingestion, storage, and serving. Lead the design of complex data capabilities and mentor senior engineering staff to maintain high technical standards.
Design and build production data pipelines and Lakehouse solutions using the Databricks platform to support AI and digital products. Collaborate with clients and cross-functional teams to develop data strategies and maintain scalable data foundations.
Design, build, and operate enterprise-grade data and AI platforms using GitOps principles and Infrastructure-as-Code. Develop scalable ETL/ELT pipelines to support ML model training, GenAI enablement, and RAG workflows while ensuring data governance and observability.
Contract Senior Data Engineer (São Paulo, Brazil)
Pie Insurance - Contracts
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Full Time
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3 Weeks Ago
Pie Insurance - Contracts
Develop and maintain complex data pipelines and models within a Data Vault 2.0 warehouse using Python and SQL. Administer Snowflake infrastructure and lead technical projects end-to-end to support insurance pricing and financial reporting.
Design, build, and maintain scalable data pipelines and SQL-based data models to power decision-making. Own end-to-end data engineering projects from ingestion to analytics enablement while improving monitoring and data quality.
Design and build end-to-end data pipelines and products on Microsoft Azure to power analytics and AI/ML use cases. Lead legacy-to-cloud migrations and establish engineering standards for the enterprise data platform.
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Design and optimize scalable data pipelines and modern data architectures to lead global data integration across products. Act as a technical reference to deliver high-quality ETL/ELT solutions and drive data-driven product evolution.
Design and optimize end-to-end data architectures on Microsoft Fabric and Azure, managing the entire data value chain from ingestion to exposure. Provide technical leadership through mentoring, code reviews, and contributing to pre-sales activities and internal practice growth.
Design, develop, and maintain data pipelines using Azure Data Factory and dbt, implementing transformation processes in Snowflake. Ensure data quality and reliability while collaborating with business and architecture teams to optimize the corporate data platform.
Architect and build GitLab's in-product insights and Knowledge Graph to turn software delivery data into actionable intelligence. Coordinate integrations with external systems and design the Data Marketplace for customer data consumption.
Build and own the infrastructure for reliable, well-governed data powering products and business metrics. Lead the evolution of the data platform toward an AI-first architecture and manage the full data stack from ingestion to delivery.
Design and implement scalable data ingestion and retrieval systems to power Caseware's AI platform. Lead the architecture of vector storage, embedding pipelines, and agent memory systems while ensuring data quality and governance.
Design and maintain automated data ingestion pipelines and analytics-ready data models to support the People Data Hub. Collaborate with HRIS and IT to ensure secure, scalable, and governed reporting for workforce analytics.
Design and maintain automated processes for provisioning secure, scalable data workspaces and infrastructure for the VA Data Modernization initiative. Provide high-touch customer success support, including onboarding, troubleshooting, and creating technical guides to accelerate platform adoption.
Staff Software Engineer - Data Platform
Pantheon Systems, Inc
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Full Time
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3 Weeks Ago
Pantheon Systems, Inc
Lead the technical architecture and extension of the configuration-driven data platform to support product insights and ML/LLM infrastructure. Mentor a team of engineers while managing the full DevOps lifecycle of ingestion, curation, and retention services.
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Lead the migration of legacy documentation and records into a cloud-based environment, focusing on transforming unstructured data into structured formats. Design and maintain MuleSoft integrations and APIs to ensure seamless data exchange and harmonization within the Salesforce ecosystem.
Architect and maintain the data model, pipelines, and access layers to support healthcare operations and analytics. Lead technical engineering best practices and ensure data quality and governance across the platform.
Sr Data Engineer – Snowflake
Evnek Technologies Pvt Ltd
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Full Time
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3 Weeks Ago
Evnek Technologies Pvt Ltd
Design, develop, and optimize scalable cloud-based data platforms and pipelines using Snowflake and Databricks. Collaborate with stakeholders and AI engineers to implement Lakehouse architectures and support GenAI initiatives.
Lead the end-to-end migration of legacy documentation and records into a cloud-based environment, focusing on Salesforce and Document AI. Design and maintain MuleSoft integrations to enable seamless data exchange and support Salesforce Data 360 implementation.
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