Design, build, and launch scalable data pipelines to integrate customer databases and financial datasets. Monitor pipeline reliability and translate business requirements into analytical data flows that provide business value.
Remote Data Engineer Jobs (2,747)
Search = Data Engineer
Build and scale data infrastructure and tooling to support research and production workflows. Collaborate with diverse engineering teams to define technical roadmaps and mentor other engineers.
Design, develop, and maintain scalable data pipelines and ETL processes to power critical business insights. Collaborate cross-functionally with data scientists and stakeholders to translate business needs into technical data solutions.
Senior Data Engineer
Method, a GlobalLogic company
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Full Time
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2 Weeks Ago
Method, a GlobalLogic company
Design and optimize data pipelines and infrastructure while contributing to data modeling and governance across client engagements. Collaborate with multidisciplinary teams to align data solutions with digital product goals and support AI readiness assessments.
Design and maintain scalable data pipelines and lakehouse architectures to process operational data. Collaborate with business stakeholders to translate requirements into clean, analytics-ready datasets for BI and machine learning.
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Design and implement a centralized data platform to create a Single Source of Truth for strategic company metrics. Collaborate with Product Engineering to evolve reporting capabilities and enable Business Intelligence integrations for clients.
The specialist will act as a technical lead for Microsoft Fabric and Azure Data, designing end-to-end data architectures and building reusable technical components. They will lead implementation and migration projects while guiding other data engineers and BI developers.
Design and optimize PySpark/EMR pipelines and manage a Hudi-based medallion lakehouse on AWS. Own the end-to-end data platform reliability, cloud cost efficiency, and the deployment of data-serving APIs.
Develop and manage scalable data pipelines and architectures using Snowflake and cloud-native platforms. Collaborate with client stakeholders to deliver high-quality data ingestion, transformation, and governance solutions.
Design, build, and maintain scalable data pipelines and ingestion processes to ensure data quality and reliability across enterprise platforms. Support the development of modern data architecture and automate processes to improve operational efficiency for internal and external stakeholders.
Design, develop, and deploy scalable data pipelines and ETL/ELT processes using the Dataiku DSS platform. Support a large-scale enterprise data lakehouse migration while collaborating with international business and technical stakeholders.
The Lead Data Engineer will drive success in the technology and connectivity landscape by solving complex problems. They will contribute to the development of cutting-edge electronics and high-tech industry solutions.
Build and maintain end-to-end data pipelines and create AI-ready analytical datasets. Collaborate with stakeholders to incorporate business logic and optimize pipelines for reliability and performance.
Senior Cloud Data Engineer (branΕΌa Insurance)
Future Processing
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Full Time
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2 Weeks Ago
Future Processing
The role involves migrating data to a unified system for an insurance client and recreating business logic within the new solution. You will collaborate closely with the client to refine requirements, create documentation, and optimize system solutions.
Build scalable data pipelines, APIs, and AI engineering foundations to power Sales AI agents and personalized customer journeys. Collaborate with cross-functional teams to move AI solutions from conceptual ideas into production environments.
Design, develop, and maintain scalable data pipelines and Delta Lake-based architectures using Databricks and the Azure ecosystem. Collaborate with stakeholders to deliver strategic Data & AI initiatives while ensuring high standards of data quality and operational reliability.
Develop features for data ingestion, modeling, and syncing into a knowledge graph to power intelligence dashboards. Build integrations with third-party systems like Jira and ServiceNow while contributing to technical design and code reviews.
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Build and operate scalable data ingestion and transformation pipelines for real-time and batch workloads. Develop platform components, monitoring tools, and AI-powered agents to automate engineering and operational tasks.
Data Engineer β Proyecto de MigraciΓ³n Stratio a Databricks
TECDATA ENGINEERING
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Full Time
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2 Weeks Ago
TECDATA ENGINEERING
The role involves participating in a data migration project from the Stratio platform to Databricks. The engineer will be responsible for executing the migration independently and autonomously.
Design, build, and optimize production-grade data pipelines and analytics solutions to support business intelligence and AI/ML initiatives. Manage data infrastructure on Snowflake and Databricks while implementing DataOps and data observability practices.
Lead the design and delivery of production-grade data platforms, pipelines, and analytics solutions to drive business intelligence and AI/ML capabilities. You will own critical data workstreams end-to-end, managing architectural decisions and mentoring other engineers.
Senior Data Engineer
Berkeley Payment Solutions Inc.
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Full Time
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2 Weeks Ago
Berkeley Payment Solutions Inc.
Design, build, and maintain scalable data infrastructure and fault-tolerant pipelines using AWS and Terraform. Partner with cross-functional teams to translate business requirements into durable data solutions for analytics and financial reporting.
Lead the design and development of reusable, config-driven data ingestion engines and transformation pipelines using Python and Azure Databricks. Implement metadata-driven validation layers and optimize Spark jobs to scale data solutions across various healthcare data domains.
Data Engineer β PySpark + AWS Glue
Yadimen Consulting Limited
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Full Time
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2 Weeks Ago
Yadimen Consulting Limited
Design and maintain scalable ETL pipelines and data ingestion workflows using PySpark and AWS Glue. Orchestrate data workflows with AWS Step Functions and develop serverless functions using AWS Lambda.
Lead the development, optimization, and scaling of data solutions by building reusable ingestion engines and transformation components. Implement metadata-driven validation layers and maintain production-ready onboarding templates for various data domains.
Data Engineer - Data & AI Applications
Capital Project Intelligence
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Full Time
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2 Weeks Ago
Capital Project Intelligence
Build and maintain data workflows, pipelines, and AI-enabled applications to support analytics and reporting. Collaborate with stakeholders to translate business requirements into technical solutions and ensure data integrity and security.
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Lead the data engineering team to design and maintain a scalable end-to-end data platform and proprietary Carbon Database. Collaborate with cross-functional teams to build data pipelines and AI automations that support sustainability goals.
Lead the data engineering team in designing and maintaining a scalable end-to-end data platform and proprietary Carbon Database. Collaborate with cross-functional teams to build data pipelines and AI automations that support sustainability goals.
SmartVerify β Cloud Native Sr. Engineer (Data Plane)
Smartverify
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Full Time
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2 Weeks Ago
Smartverify
Own and develop the data plane, focusing on Envoy proxy internals and WASM filter development for deep packet inspection. Manage EKS deployments, CI/CD pipelines, and observability tooling to ensure production-scale inline inspection.
Lead and mentor multiple data engineering teams in the design, build, and deployment of high-quality data products using Databricks. Establish engineering standards, optimize Spark performance, and oversee the transition from legacy platforms to modern streaming architectures.
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