Architect and build modern, cloud-native data platforms on Google Cloud using BigQuery as the analytical backbone. Lead the design of unified batch and streaming pipelines while mentoring engineers and establishing data governance practices.
Remote Data Engineer Jobs (2,742)
Search = Data Engineer
Lead the design and implementation of modern end-to-end data architecture and intricate processing pipelines to meet business objectives. Manage projects from inception to completion while collaborating with stakeholders and mentoring technical teams.
Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using Apache Spark and Delta Lake. Collaborate with cross-functional teams to optimize data workflows and support data governance and security best practices.
Design and maintain scalable data pipelines on the Databricks Lakehouse Platform using Apache Spark and Delta Lake. Collaborate with cross-functional teams to optimize data workflows and implement best practices for data governance and security.
Design and maintain scalable data pipelines on the Databricks Lakehouse Platform using Apache Spark and Delta Lake. Collaborate with cross-functional teams to optimize data workflows and implement best practices for data governance and security.
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Design, build, and operate scalable infrastructure for ingesting and processing petabytes of data into a lakehouse. Develop internal libraries and tooling to support AI, analytics, and data discovery across the organization.
Design, build, and operate scalable infrastructure for ingesting and processing petabytes of data into a lakehouse. Develop internal libraries and tooling to improve the reliability and observability of the Spark and Databricks-based data platform.
The candidate will be responsible for designing and maintaining data pipelines as a Senior Data Engineer. They will ensure the efficient flow and processing of data across the organization.
Design and implement scalable cloud-based data platforms and pipelines to power analytics, AI, and GenAI systems. Collaborate with cross-functional teams to ensure data governance, observability, and the delivery of production-grade data products.
Design and implement scalable cloud-based data platforms and pipelines to power analytics, AI, and GenAI applications. Collaborate with cross-functional teams to ensure data governance, observability, and the delivery of production-grade datasets.
The Lead Data Engineer will assess data sources, quality, and integration requirements to validate the technical feasibility of AI and reporting use cases. They will provide platform recommendations, identify implementation risks, and support technical documentation for final recommendations.
The Senior Data Engineer is responsible for delivering accurate data from multiple sources into the Azure Data Warehouse and modern analytics platforms. This includes designing scalable data solutions and optimizing data pipelines to enable data-driven decision-making.
Design and optimize scalable data pipelines and data architecture. Collaborate with business stakeholders to deliver data-driven solutions.
Own the operational health, architecture intelligence, and cost optimization of cloud environments. Develop models connecting architectural decisions to business spend and provide visibility to leadership through dashboards and reporting.
Architect and maintain the data infrastructure to move and transform marketplace data reliably at scale. Own the analytical schema and data quality standards to support internal analytics and customer-facing reporting.
Design and implement scalable, high-performance data pipelines to ingest and transform data from various sources. Build and maintain secure, tenant-aware APIs and implement observability and monitoring to ensure data reliability.
Design and implement scalable, high-performance data pipelines to ingest and transform data from various sources. Build and maintain secure, tenant-aware APIs and implement observability and monitoring to ensure data reliability.
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Architect and deliver trusted data sets and modern analytics architectures to support internal teams and external customers. Lead continuous improvement in data management standards and mentor junior engineers to drive scalable data infrastructure solutions.
Junior Data Engineer (Faculty Specialist)
University of Maryland
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Full Time
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7 Weeks Ago
University of Maryland
Design, develop, and support relational and distributed database instances to create stable and secure data platforms. Work within an Agile environment to define, document, and test transportation data analytics applications.
Lead the design and implementation of data pipelines, schemas, and models to support business intelligence and analytics. Provide technical leadership through coaching and mentorship while collaborating cross-functionally to drive product improvements.
Design and develop solutions for data collection, storage, and modeling while ensuring data quality and accessibility for analysts and scientists. Lead technical teams, manage code quality, and participate in pre-sales activities and client technical solutions.
Architect and build robust data frameworks and automated workflows to empower Enterprise Data Lake platforms. Collaborate with Analytics, Sales, and Marketing teams to create curated datasets that drive strategic decision-making.
Design and implement scalable data processing systems and pipelines on the Azure platform to ingest and transform data from various sources. Collaborate with cross-functional teams to optimize data storage architectures and provide structured data for analysis and modeling.
Design, build, and maintain scalable data pipelines and integration solutions within the Azure Cloud to enable enterprise analytics. Collaborate with stakeholders to deliver clean, structured data to Power BI using ADF, ADLS, and Databricks.
Senior/Staff Software Engineer, Data Engineering Team
The Voleon Group
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Full Time
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7 Weeks Ago
The Voleon Group
Design and implement scalable data processing technologies, ingestion systems, and production-critical pipelines. Lead complex projects from requirements gathering to delivery while providing technical guidance and mentorship to the engineering team.
Senior/Staff Software Engineer, Data Infrastructure Group
The Voleon Group
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Full Time
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7 Weeks Ago
The Voleon Group
Lead the design and implementation of scalable data infrastructure, including data cataloging, versioning, and lineage. Collaborate with research and engineering teams to improve data usage and define the technical roadmap.
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Lead the design and evolution of the data platform architecture to ingest and transform high-variance clinical data. Build automated, production-grade pipelines and mentor other engineers to ensure scalable and reliable data product releases.
Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to migrate toward a domain-based, scalable architecture.
Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to build high-throughput, low-latency integrations and migrate toward a domain-based architecture.
Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to build high-throughput, low-latency integrations and migrate toward a domain-based architecture.
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