Design and implement ETL/ELT pipelines and transformation layers to ensure data accuracy for product and business decision-making. Build data quality checks and monitor key datasets while documenting data models and metrics.
Remote Data Engineer Jobs (2,551)
Search = Data Engineer
The role involves processing, refining, and analyzing data using ETL/ELT processes and integrations on cloud-based platforms. You will collaborate with clients, analysts, and other developers to ensure documented and managed development within client environments.
Design and implement scalable data pipelines using PySpark on Databricks while optimizing Spark jobs for performance and cost. Migrate legacy data warehouses to Lakehouse architecture and enforce high code quality through CI/CD and rigorous reviews.
Design and maintain scalable ETL/ELT pipelines and data warehouses to support AI-native mortgage lending operations. Integrate AI-assisted tools into the data engineering workflow to automate transformations and build real-time agentic workflows.
Design and implement scalable data models and pipelines using Databricks to support AI and machine learning initiatives. Manage ETL/ELT processes and deployment of data assets using Databricks Asset Bundles and Azure DevOps.
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Design, build, and operate critical data infrastructure platforms including lakehouse, replication, and orchestration systems. Ensure high availability and scalability of platform services while driving developer productivity through automation and AI workflows.
Modernize a complex data estate by transitioning legacy ETL processes into a high-performance, Spark-driven Microsoft Fabric environment. Build and manage large-scale data environments using OneLake and implement Medallion architecture for data integrity.
Lead the data path for a healthcare scheduling platform rebuild by designing a clean target schema and building a translation layer from a legacy monolith. Manage the per-tenant data cutover and ensure data consistency and performance during the migration process.
Lead and mentor multiple data engineering teams in the design, build, and maintenance of high-quality data products using Databricks. Establish engineering standards, optimize Spark performance, and oversee the migration from legacy analytical platforms to a modern streaming architecture.
Design, build, and maintain scalable ETL/ELT pipelines and data models on the Databricks Lakehouse platform. Collaborate with cross-functional teams to deliver high-quality datasets for analytics, machine learning, and operational needs.
Design and develop big data ingestion processes and ETL/ELT pipelines to support organizational initiatives. Collaborate with data scientists and analysts to provide scalable data infrastructure and maintain technical documentation.
Architect and lead the development of enterprise-scale data platforms and metadata-driven pipelines using Databricks and Azure. Manage and mentor a team of data engineers while collaborating with stakeholders to translate business requirements into scalable technical solutions.
Architect and lead the development of enterprise-scale data platforms and metadata-driven pipelines using Databricks and Azure. Manage and mentor a team of data engineers while collaborating with stakeholders to translate business requirements into scalable technical solutions.
Principal Specialist Sales Engineer - Data Security, SLED/Healthcare
Zscaler
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Full Time
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4 Weeks Ago
Zscaler
Partner with sales teams to design and win strategic data security opportunities for SLED and Healthcare customers. Lead technical product presentations, gather requirements, and manage hands-on product evaluations to ensure successful customer outcomes.
Design and mature a centralized data lakehouse on AWS to serve as the backbone of the company's data ecosystem. Develop scalable data pipelines and reusable SDKs to enable secure and efficient data access across the organization.
Lead complex technical initiatives for measurement and planning within the Data Delivery team to build scalable data systems. Act as the domain DRI to translate product requirements into technical specifications and mentor other engineers.
Lead the technical direction and design of high-throughput data ingestion services and pipelines. Provide mentorship to engineers while ensuring the reliability and scalability of systems processing over 10 billion events per day.
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Shape the long-term technical strategy and architecture for Data Delivery and Stats & Analytics systems. Lead cross-team initiatives to build scalable data pipelines, APIs, and reporting systems that enable AI-powered marketing insights.
Lead a squad of data engineers to design and scale the organization's data foundation, including ingestion, transformation, and storage layers. Balance hands-on technical execution with strategic leadership, mentoring, and cross-functional partnership to deliver production-ready data systems.
Data Engineer, Mortgage Servicing
Lakeview Loan Servicing
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Full Time
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4 Weeks Ago
Lakeview Loan Servicing
Design and maintain scalable data pipelines and architectures to support mortgage servicing analytics, reporting, and AI development. Ensure data integrity and reconciliation across complex loan-level lifecycle systems in a regulated environment.
Architect and build core services, automation tools, and integrations to power a healthcare data ecosystem. Focus on improving pipeline reliability, observability, and developer experience through scalable backend services and APIs.
Design and implement data pipeline architectures and telemetry to understand user behavior. Optimize data performance across Spark and Kafka clusters and resolve complex technical incidents at the root cause.
Systems Research Engineer- Software Engineer, Data and ML Infrastructure
Feedzai
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Full Time
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4 Weeks Ago
Feedzai
Design and implement high-performance, real-time Machine Learning inference systems capable of processing millions of events per second. Drive architectural decisions for ML workloads and contribute to scientific research through papers and patents.
The role involves designing and delivering software solutions for data infrastructure, including the data lakehouse, streaming, and orchestration platforms. The engineer will own components of the infrastructure, ensuring reliability and performance while mentoring junior team members.
Design, build, and maintain scalable production-grade data systems and resilient pipelines to support analytics and machine learning. Collaborate with cross-functional teams to translate business needs into technical solutions while mentoring other engineers.
Data Engineer - Clearance Required
Logistics Management Institute
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Full Time
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4 Weeks Ago
Logistics Management Institute
Design and implement automated data workflows to map hardware and software interdependencies for Army missions. Translate complex technical data into strategic narratives and dashboards to communicate investment trade-offs to senior leadership.
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Enterprise Data Engineer - Clearance Required
Logistics Management Institute
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Full Time
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4 Weeks Ago
Logistics Management Institute
Design, build, and operate the data backbone and pipelines to support analytics, dashboards, and AI/ML capabilities for USSOCOM. Implement data governance, security, and access controls aligned with DoD policy within a modern Microsoft data stack.
Design, build, and optimize scalable data pipelines and authoritative data models supporting DoD ecosystems like Jupiter and ADVANA. Collaborate with stakeholders to ensure data quality, governance, and performance across mission-critical logistics environments.
Design and maintain scalable data pipelines to integrate data from multiple sources and convert raw data into actionable business insights. Collaborate with data scientists and ML engineers to optimize data systems and ensure data accuracy and consistency.
Senior Software Engineer - Data Infrastructure
MQ Referrals Only
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Full Time
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4 Weeks Ago
MQ Referrals Only
The role involves designing and delivering software solutions for data lakehouse, streaming, and orchestration platforms. Responsibilities include owning component reliability, mentoring junior engineers, and participating in on-call rotations.
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