1,204 Data Engineer jobs in United States available for remote work from home. Apply for positions such as Software Engineer, Data Intelligence, Full Stack Data Engineer, Senior Data Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design and maintain versioned data pipelines to ingest and conflate complex retail data from edge devices. Additionally, you will implement a hybrid AI strategy using both rules-based logic and LLMs to ensure high-fidelity, production-ready data outputs.
The role involves developing and maintaining scalable data pipelines and cloud-native applications to support clinical workflows and internal operations. You will collaborate with cross-functional teams to ensure data accuracy and reliability while participating in engineering on-call rotations.
The Senior Data Engineer designs and implements scalable data-ingestion pipelines and cloud-native architectures on AWS. They collaborate with cross-functional teams to optimize ETL/ELT processes and ensure data quality for analytics and machine learning use cases.
Design, build, and operate LLM-powered applications and agentic workflows to improve publishing operations. Manage end-to-end service architecture, deployment, and monitoring within AWS and Databricks environments.
Design, build, and maintain scalable data infrastructure and pipelines to support analytics, machine learning, and AI initiatives. Lead technical strategy, establish data quality standards, and mentor team members while ensuring compliance within a regulated healthcare environment.
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The Staff AI Data Engineer will own the end-to-end development of customer-facing data products, including demand forecasting and inventory recommendations. They will also leverage AI and LLMs to structure unstructured data and build robust ingestion and transformation pipelines.
Lead the design, engineering, and commissioning of mission-critical electrical infrastructure for hyperscale and enterprise data centers. Collaborate with cross-functional teams to ensure reliable, scalable, and energy-efficient facility operations throughout the project lifecycle.
Develop and maintain scalable data pipelines to ingest, transform, and integrate healthcare data within a cloud-based lakehouse architecture. Collaborate with cross-functional teams to translate business requirements into effective data solutions while ensuring data quality and performance.
Design and develop scalable Spark-based ETL/ELT pipelines and enterprise data products using Medallion Architecture. Collaborate with cross-functional teams to implement data quality, governance, and metadata-driven engineering solutions.
Develop and optimize data models using Palantir Gotham and Foundry to support IRS initiatives. Design ETL/ELT pipelines and create BI dashboards to facilitate fraud detection and tax compliance decision-making.
The Lead Data Engineer will design, build, and operate production-grade data pipelines using Medallion Architecture and modern ELT frameworks. They are also responsible for establishing engineering standards, mentoring junior staff, and ensuring the security and performance of the data platform.
The role involves designing, developing, and maintaining scalable data pipelines and infrastructure for real-time and batch processing. It also requires implementing data governance, security measures, and collaborating with cross-functional teams to support data-driven initiatives.
The role involves managing the Snowflake data platform, designing scalable data architectures, and implementing robust data governance and security policies. You will also lead the development of data pipelines, optimize system performance, and mentor junior engineers to drive data-driven decision-making.
The Senior Data Engineer will design, build, and maintain scalable data pipelines using Medallion Architecture and cloud-based technologies. They will also collaborate with lead engineers, mentor junior staff, and ensure operational excellence through monitoring and performance optimization.
The Senior Data Engineer will architect and operate a cloud-native, lakehouse-based data platform to support AI and analytics products. They will own end-to-end pipeline design, ensuring data systems are reliable, scalable, and HIPAA-compliant.
You will architect and implement end-to-end modern data platforms and scalable streaming pipelines to support business and AI consumption. Additionally, you will act as a client-facing partner, scoping requirements and presenting technical solutions to stakeholders.
You will own the architecture and technical direction of the data platform while building and operating reliable pipelines and infrastructure. You will also partner with cross-functional teams to support analytics, data science, and AI workflows while mentoring other engineers.
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The Lead Electrical CAD Engineer is responsible for the development, release, and sustainment of electrical schematics, panel layouts, and power distribution designs for mission-critical infrastructure. This role ensures design integrity across the product lifecycle while collaborating with mechanical and PLM teams to maintain configuration control.
The Senior Data Engineer will lead the design, development, and operation of scalable data platforms and pipelines to support enterprise analytics and AI. This role involves building robust ETL/ELT processes, implementing Medallion Lakehouse patterns, and collaborating with cross-functional teams to ensure data quality and governance.
Lead technical pre-sales engagements by architecting and delivering end-to-end data platform solutions for enterprise clients. Collaborate with sellers to turn complex data challenges into production-ready architectures and reusable IP.
You will design and implement core components of the identity data platform, including APIs and service layers that abstract raw identity data. You will also lead projects to migrate product surfaces onto well-defined, product-grade APIs while championing system resilience and observability.
Design and build mission-critical data services that analyze blockchain transaction activity at petabyte scale. Collaborate with data scientists, engineers, and product managers to architect scalable data models and integrate with numerous blockchains.
The Databricks Data Engineer will build and configure a government-owned Databricks workspace and develop data ingestion pipelines from core enterprise systems. They will also implement Unity Catalog for data governance and create comprehensive documentation to support long-term sustainment.
Lead the end-to-end mechanical design and integration of hyperscale data center infrastructure, specifically focusing on liquid cooling architectures and structural rack systems. Manage cross-functional design reviews, vendor qualifications, and validation protocols to ensure system reliability, manufacturability, and compliance with industry standards.
The Senior Data Engineer will architect, build, and maintain scalable, automated ETL/ELT pipelines while optimizing cloud-based data warehouse platforms. They will also collaborate with cross-functional teams to deliver secure, high-quality data solutions and provide technical mentorship to the team.
The candidate will design, develop, and optimize scalable Databricks/Spark ETL pipelines to integrate Oracle EBS data for business intelligence reporting. They will also ensure data quality, lineage, and compliance with federal data governance and cybersecurity standards.
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The Managing Engineer leads a team in designing, building, and operating data security products including DLP policy, data intelligence, and access controls. This role involves providing technical direction, hands-on engineering, and ensuring the reliability and scalability of security solutions.
The Senior Data Engineer will own and evolve production data lake and warehouse systems, including CDC ingestion and query layers. They will also integrate graph databases with analytics platforms and support production generative AI workflows.
The Senior Principal Mechanical Integration Engineer will lead the design, integration, and manufacturing transition of liquid cooling systems for data center infrastructure. This role involves acting as a subject matter expert to ensure system performance, reliability, and compliance with international standards.
The role involves constructing and optimizing data pipelines while implementing efficient storage solutions to support data-driven initiatives. You will also perform data migrations, conduct exploratory data analysis, and collaborate with cross-functional teams to deliver integrated solutions.
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