Design, develop, and maintain scalable data pipelines and models using Databricks, Spark, and Python to power organizational analytics. Collaborate cross-functionally to optimize data workflows and ensure governed access to data for reporting.
Remote Data Engineer Jobs (2,552)
Search = Data Engineer
Build and maintain the master data enrichment pipeline, focusing on classification and entity resolution workflows using deterministic logic and LLMs. Develop evaluation harnesses and regression suites to ensure high data quality and pipeline reliability.
The role focuses on expert data processing and data migration to transform industries and generate positive impact. The engineer will work within a global, collaborative team to build and maintain data solutions.
Azure Data Engineer - Remote, Latin America
Bluelight Consulting
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Full Time
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6 Days Ago
Bluelight Consulting
Design, develop, and maintain ETL data integration processes using Python and Azure Synapse Analytics to ensure data accuracy. Collaborate with data scientists and architects to build scalable data storage structures and optimize pipeline performance.
Responsible for the management, administrative support, and security of the Epic Cogito suite of reporting tools. Coordinates analytics processes, system updates, and technical troubleshooting across all Epic applications.
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Design and implement scalable, domain-oriented data pipelines on AWS to support analytics and business-critical workflows. Collaborate with cross-functional teams to optimize data quality, reliability, and performance across various data domains.
Define data architecture and platform strategy while building scalable pipelines for batch and real-time processing. Lead the design of data infrastructure for production AI/ML systems and mentor junior engineers to maintain high technical standards.
Senior Software Engineer, Data Platforms (MULTIPLE POSITIONS) – Bethesda, MD
Marriott
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Full Time
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6 Days Ago
Marriott
Lead the design and development of next-generation cloud-based data, analytics, and machine learning platforms. Technical ownership includes setting standards, managing service provider deliverables, and mentoring team members to ensure scalable high-quality products.
Develop end-to-end technical production solutions ensuring performance, security, and scalability. Create detailed solution documentation and deliver presentations to clients.
The role focuses on building customer-specific ELT pipelines, dbt models, and Dagster orchestration for new client onboarding. It involves transforming raw data into analytics-ready environments and handing them off to the core engineering team.
Design and deliver scalable, cloud-native data platforms using Microsoft Fabric and the Azure analytics ecosystem. Lead engineering teams, mentor junior staff, and collaborate with stakeholders to translate functional requirements into technical solutions.
![CI&T is hiring for remote [Job-29647] Senior Data Engineer, Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Design and maintain end-to-end data pipelines and processing workflows within a cloud-native environment. Drive technical decisions independently to deliver scalable and reliable data solutions on GCP.
Design, develop, and support enterprise API platforms using Apigee and related integration frameworks. Implement security frameworks, governance standards, and CI/CD pipelines to ensure scalable and secure API delivery.
Design, develop, and support enterprise API platforms using Apigee across cloud and hybrid environments. Lead architectural decisions, implement security frameworks, and manage the full API lifecycle to enable secure data exchange.
Design and implement scalable, domain-oriented data pipelines on AWS to power analytics and business-critical workflows. Collaborate with cross-functional teams to optimize batch and streaming ingestion architectures while ensuring data quality and governance.
Design and implement scalable, domain-oriented data pipelines on AWS to support analytics and business-critical workflows. Collaborate with cross-functional teams to optimize data quality, reliability, and performance across various data domains.
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting
·
Full Time
·
6 Days Ago
Bluelight Consulting
Design, develop, and maintain ETL data integration processes using Python and Azure Synapse Analytics to ensure data accuracy. Collaborate with cross-functional teams to build scalable data storage structures and optimize performance to meet SLAs.
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Design and implement scalable Snowflake-based data architectures and performance-optimized ELT pipelines using dbt. Lead discovery efforts with stakeholders to translate business needs into curated, analytics-ready data models.
Network Advanced Services Engineer (Data Center/Network Automation)
Arista Networks
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Full Time
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6 Days Ago
Arista Networks
Lead the design, deployment, and operationalization of Arista networking solutions for large-scale cloud customers in the Pacific Northwest. Balance post-sales technical leadership with strategic pre-sales support, including POCs and technical training.
Senior Data Engineer
Simple Life App / Zing Coach
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Full Time
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6 Days Ago
Simple Life App / Zing Coach
Design, build, and maintain streaming and ingestion pipelines to deliver data to a Snowflake warehouse. Evolve the AWS streaming stack and maintain infrastructure as code using Terraform.
Develop and maintain a scalable, cloud-based data platform and robust data pipelines to support analytics and regulatory reporting. Collaborate with cross-functional teams to design high-quality data models and implement monitoring components for data reliability.
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.
Design and operate a cloud-native data platform on AWS with a focus on automating infrastructure and building reliable deployment systems. Collaborate with engineering teams to implement CI/CD workflows and ensure the scalability and observability of data pipelines.
Design, build, and maintain ELT/ETL data pipelines and database structures throughout the entire data lifecycle. Collaborate with internal technology teams to deliver enterprise reporting solutions and mentor junior team members on best practices.
Design and scale modern data platforms including streaming, CDC, and ETL pipelines to enable efficient data integration. Lead technical design discussions and mentor engineers to ensure high reliability and performance of distributed systems.
Lead the technical architecture and evolution of HubSpot's foundational data stores and shared platforms. Drive high-impact initiatives across storage, batch/stream processing, and search to improve developer ergonomics and system scalability.
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Lead the technical direction and architecture of HubSpot's foundational data stores and shared platforms. Drive the development of internal frameworks and APIs to ensure scalable, reliable, and performant data infrastructure across the organization.
Design and develop automation solutions to improve quality and efficiency across the Services division. Manage project coordination, status reporting, and the implementation of business process improvements for the Merchant Offers business.
Design and build large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies. Lead system-wide architectural decisions and mentor junior engineers to ensure platform reliability and scalability.
Design and implement semantic architectures and ontologies to enable AI agents to reason and retrieve enterprise knowledge effectively. Build knowledge graphs and context pipelines to transform fragmented data into machine-interpretable context for high-performance AI systems.
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