1,207 Data Engineer jobs in United States available for remote work from home. Apply for positions such as Staff Software Engineer, Full Stack (Enabling Plan and Benefits Data), Data Engineer-6336, Senior Manager, Data Engineering and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will own and evolve the data pipeline platform to ingest and deliver provider, benefit, and pricing data while building internal tools to automate operational workflows. You will also set technical direction for data infrastructure and act as a technical unblocker to mentor other engineers.
Build and modify high-complexity ETL and data pipelines while developing monitoring and alerting systems for infrastructure. Lead end-to-end data engineering initiatives and collaborate with cross-functional stakeholders to ensure data reliability and efficiency.
The Senior Manager will lead the Data Engineering team to set the technical direction for the company's data platform and architecture. They will oversee the transition to a Medallion architecture while partnering with cross-functional teams to deliver scalable, reliable, and reusable data solutions.
Lead electrical procurement engineering for owner-furnished, contractor-installed power equipment in AI data centers. Manage the electrical product roadmap, technical requirements, and vendor relationships to ensure reliable, cost-effective infrastructure solutions.
Lead the mechanical and thermal procurement engineering team to define cooling product roadmaps and technical requirements for AI data centers. Manage vendor relationships, equipment specifications, and performance testing to ensure reliable cooling solutions at the best total cost of ownership.
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The Director of Data Engineering will own the company's data roadmap, model, and platform while leading and coaching a team of engineers. They are responsible for refactoring legacy systems, managing infrastructure costs, and integrating enterprise systems like ERP into the data warehouse.
The Director of Data Engineering will own the architecture, engineering standards, and technical delivery of the company's modern cloud data and AI platform. This role involves leading both internal and offshore engineering teams to build governed data products while remaining hands-on with code and design reviews.
The intern will build and automate production reporting layers for Talent Acquisition by establishing Snowflake connectivity and developing comprehensive Power BI dashboards. They will also partner with leadership to translate business questions into measurable metrics and ensure data quality across HR systems.
The Director will drive sales and serve as the solution architect for data platform and integration engagements. They will provide technical leadership throughout the delivery lifecycle while building relationships with senior client stakeholders.
You will design and build automated data pipelines and ETL/ELT processes while improving data quality and monitoring across production systems. Additionally, you will build internal tooling to accelerate engineering workflows and collaborate across teams to ensure scalable data solutions.
Design, build, and operate data pipelines and analytic tables to support Medicare revenue projection models. Ensure data quality, lineage, and auditability while partnering with finance and actuarial teams to provide trusted datasets.
The role involves designing, building, and maintaining data pipelines and infrastructure to support agency data processing needs. The analyst will lead data migration efforts from legacy environments to Databricks and develop technical specifications based on user requirements.
The Data Engineering Architect will design and lead the implementation of scalable data platforms and pipelines while defining technical strategies for client business objectives. They will also partner with sales teams to shape technical proposals, respond to RFPs, and provide expert guidance to delivery teams.
Design, develop, and maintain enterprise-grade data engineering pipelines and software components using Azure technologies. Collaborate with cross-functional teams to translate business requirements into technical specifications and optimize marketing data solutions.
You will lead and grow the data engineering team while setting the technical roadmap for data ingestion and pipeline infrastructure. You will also partner with cross-functional leadership to prioritize business needs and ensure high engineering standards across the data platform.
Architect and lead the delivery of enterprise data platforms, machine learning systems, and AI applications for federal clients. Establish engineering standards, mentor team members, and ensure compliance with data governance and security frameworks.
Design, build, and operate data platforms, machine learning models, and AI applications to support federal agencies and clients. Collaborate with cross-functional teams to develop production-grade pipelines and deploy secure AI services.
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The role involves supporting and maintaining automated data flows and API integrations between internal systems and core fund accounting platforms. Additionally, the engineer will develop and manage data pipelines within the Snowflake environment and automate processes across the Microsoft 365 suite.
The Data Architect will define and evolve target-state data architecture, standards, and roadmaps while leading the design and implementation of scalable data pipelines. This role also involves mentoring engineering teams and ensuring data quality, security, and performance across cloud-based data platforms.
You will own the technical strategy and execution for the Data Products roadmap, including clinical data ingestion and canonical data modeling. You will also lead cross-functional teams to build scalable data capabilities and drive the adoption of AI-powered software development workflows.
The Director of Engineering will own the technical strategy and execution for the Data Products roadmap, including clinical data ingestion and canonical data modeling. They will lead cross-functional teams to build scalable data capabilities while driving the adoption of AI-powered development workflows.
Lead and mentor a team of application and data engineers while providing hands-on technical direction for application platforms, APIs, integrations, and data solutions. Partner with business and technology stakeholders to deliver secure, scalable systems that support analytics, operational excellence, and compliant data-driven decision-making.
The Director will analyze data center trends and customer needs to develop a product strategy and system architecture for cooling solutions. They will lead cross-functional teams to drive product differentiation and ensure alignment across global stakeholders.
The Senior Data Engineer will build and certify identity source pipelines while managing complex data engineering tasks. They will also contribute to analytics delivery, Power BI reporting, and the operationalization of dataset certification frameworks.
The Senior Director of Data Engineering will lead the data and analytics team while serving as a hands-on architect to mature the company's data platform. They will partner with executive leadership to translate business needs into a prioritized data roadmap and ensure robust metric governance and reporting.
The Manager of Data Engineering AI will lead the data engineering team to develop and implement strategic data architectures leveraging AI innovations. They are responsible for managing staff performance, overseeing IT architecture decisions, and ensuring compliance with regulatory standards like HIPAA.
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You will design, build, and optimize scalable data pipelines and modern data platforms to enable advanced analytics and AI-driven decision-making. Additionally, you will collaborate with client stakeholders to translate business requirements into technical data solutions while supporting data governance and quality initiatives.
Lead a team of data engineers to design and build scalable data pipelines using a modern lakehouse stack. Manage stakeholder relationships and drive operational excellence while championing AI-forward development practices.
You will build and maintain data platforms for Finance solutions using Microsoft Fabric, managing the entire lifecycle from ingestion to reporting. Additionally, you will support agent builds and collaborate with delivery teams to ensure production pipeline health and documentation.
The Lead Director will oversee the strategy, architecture, and delivery of enterprise AI platform capabilities and reusable data products. This role involves leading high-performing engineering teams to scale AI/ML solutions while establishing operational standards for governance, security, and platform reliability.
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