2,086 Data Engineering jobs available for remote work from home. Apply for positions such as Senior Analytics Engineer, Airbnb.org, Software Engineer II, AVP, Data Solutions Engineering, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design, build, and maintain the data foundation for Airbnb.org, including data models, pipelines, and metrics that power reporting and experimentation. You will also partner with cross-functional stakeholders to translate business needs into reliable data products and ensure high data quality across the organization.
You will design, develop, and deploy intelligent AI solutions to automate clinical processes and improve care delivery in senior healthcare settings. This involves integrating AI models with EHR systems and collaborating with cross-functional teams to ensure data security and regulatory compliance.
The Assistant Vice President will lead the build-out and deployment of operational data pipelines while ensuring their reliability, scalability, and governance. They will partner with business teams and cross-functional peers to design and deliver well-architected data solutions.
The Senior Associate will design and deliver strategic data solutions, including developing robust data pipelines and implementing data transformations. They will also provide operational support, automate workflows, and mentor junior team members within an agile environment.
The Marketing Data Analytics Manager will lead the measurement, forecasting, and optimization of marketing investments across all D2C channels. This role involves building attribution models, managing media mix modeling, and partnering with executive leadership to drive data-informed business decisions.
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The Snowflake Developer will design, develop, and maintain enterprise data warehouse solutions and data pipelines on the Snowflake platform. They will also optimize database performance, manage data security, and collaborate with cross-functional teams to meet business requirements.
The AI VP will lead the hands-on development and delivery of an AI-native healthcare data platform, including reporting, visualization, and workflow-automation modules. They will also be responsible for building and managing the AI/ML engineering team in India while ensuring secure, HIPAA-compliant architecture.
Design, develop, and maintain scalable data pipelines using Databricks and cloud-native technologies to support business intelligence and AI initiatives. Collaborate with cross-functional teams to build robust data models and ensure the reliability and performance of the analytics ecosystem.
Lead the design, development, and delivery of scalable data solutions while mentoring and coaching a team of data engineers. Partner with cross-functional stakeholders to translate business needs into technical roadmaps and ensure high-performing, secure data products.
The Data Analyst will own the payments data infrastructure, including building transaction cost models and automating monthly reconciliations. They will collaborate with cross-functional teams to define data requirements, build dashboards, and ensure data quality across internal systems and blockchain platforms.
You will lead the technical direction and architectural standards for the core data platform while owning logical and physical data modeling. Additionally, you will mentor the team and drive AI-readiness initiatives to ensure reliable, scalable data ecosystems.
You will lead the architectural direction and data governance for the core analytics platform while managing data modeling and pipeline design. Additionally, you will mentor the engineering team and drive AI-readiness initiatives to ensure scalable and reliable data workflows.
You will own the end-to-end data infrastructure, including ingestion pipelines, entity resolution, and the canonical data model to ensure high-fidelity data for AI-native procurement. You will collaborate with product engineering to build scalable, observable systems that power analytics and agentic workflows.
You will design and operate secure, scalable data products and pipelines to support member communications and operational reporting. Additionally, you will provide technical leadership, mentor junior engineers, and collaborate with cross-functional teams to ensure data quality and compliance.
Lead the research and development of data products and predictive models to drive insights for small business credit and risk management. Collaborate with product, engineering, and revenue teams to commercialize analytical tools and serve as a subject matter expert for clients.
You will build and maintain data platforms for Finance solutions, managing the lifecycle from data ingestion to production monitoring. Additionally, you will support agentic coding builds and collaborate with consultants to deliver scalable solutions for clients.
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The Machine Learning Engineer will build and maintain production-grade data pipelines while integrating and modeling data across various sources. They are also responsible for productionizing analytics and ML models by managing deployment, versioning, and performance monitoring.
You will design and own a cloud-native big data platform and ML infrastructure to support high-throughput event data and model production. You will drive the full data pipeline while ensuring business impact through reliable, performant, and scalable data products.
The Senior Data Engineer II will own and evolve the end-to-end data pipeline architecture, making critical decisions regarding scalability, cost, and reliability. They will lead technical initiatives, mentor team members, and partner with cross-functional stakeholders to improve platform health and developer experience.
Design and optimize microservices and data pipelines to process massive volumes of autonomous vehicle data. Develop tools and workflows to accelerate data mining, AI training, and the deployment of AI models.
Develop innovative cloud solutions for business intelligence and data analytics while designing modern data architectures. Manage complex applications and data pipelines with a focus on data management, processing, and security.
The Cloud Pipeline Data Engineer will automate data ingestion and transformation processes for a government financial reporting system using AWS services. Responsibilities include maintaining ETL pipelines, performing database tuning, and contributing to infrastructure-as-code development.
Define and lead the vision, roadmap, and operating model for enterprise data warehouse engineering. Oversee the design and implementation of scalable data platforms, models, and pipelines to support analytics, reporting, and AI initiatives.
Design and build data models in Databricks to create a defensible source of truth for student success reporting. Standardize semantic layer components and improve data quality while acting as a liaison between analytics and business technology teams.
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The Senior Manager will partner with Consumer Marketing teams to deliver actionable campaign insights and maintain performance dashboards across digital and offline channels. They will also lead business reviews, manage forecasting models, and educate stakeholders on data literacy and self-service tools.
The Cloud Architect provides senior technical leadership for the design, implementation, and maturation of the agency's enterprise cloud environment. They collaborate with various stakeholders to translate business needs into secure, scalable, and cost-effective cloud solutions.
The Director Analyst will create high-quality, actionable research and market predictions regarding data management for AI and agentic use cases. They will also engage with C-level clients through virtual meetings, conferences, and sales support to provide expert guidance.
Design and maintain semantic data models, metrics layers, and dashboards to provide a consistent source of truth for business analytics. Collaborate with stakeholders to build secure data pipelines and enable self-service analytics while ensuring data quality and governance.
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