2,106 Data Engineering jobs available for remote work from home. Apply for positions such as Senior Director, Data Architecture, Director of Technology, Enterprise Data Engineering, DATA ENGINEER, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Senior Director will establish enterprise data standards, build a data catalog, and define a business ontology to ensure consistent data definitions across the organization. This hands-on role involves architecting data models within Snowflake and driving cross-functional alignment on data governance and reporting standards.
The Director of Technology will lead the enterprise data engineering team through a modernization effort, transitioning legacy systems to a Databricks-based platform. This role involves setting technical standards, managing cross-functional data pipelines, and championing the adoption of AI-augmented tooling to support autonomous domain pods.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL/ELT processes to integrate multiple data sources. They will also ensure data quality and collaborate with cross-functional teams to support analytics and data-driven decision-making.
The AI Engineer will design, build, and optimize machine learning models and AI solutions to support enterprise automation and intelligent decision-making. They will also collaborate with cloud and engineering teams to deploy models and manage data pipelines.
The Senior Data Specialist will lead the design, development, and optimization of data solutions within Salesforce and integrated enterprise systems. This role involves building data integrations, managing data pipelines, and ensuring seamless data flow across platforms.
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The Senior Data Specialist will lead the design, development, and optimization of data solutions and integrations within the ServiceNow platform. They are responsible for ensuring data accuracy, performance, and compliance while collaborating with stakeholders to define integration requirements.
Lead Agile ceremonies and manage project backlogs to ensure the timely delivery of enterprise data engineering and cloud-based platform solutions. Act as the primary point of contact for stakeholders while overseeing ETL pipelines, data ingestion frameworks, and project governance.
Design, develop, and optimize scalable data pipelines using Azure Data Factory and other cloud-native services. Implement secure data migration strategies, including encryption and masking, while ensuring reliable performance across Azure environments.
The Senior Data Scientist will conduct deep-dive analyses and develop predictive models to support the Customer Success team in driving revenue and reducing churn. They will also collaborate cross-functionally to measure business impact and build AI/LLM-powered solutions.
You will scope customer environments, prototype AI-powered solutions, and harden them into production-grade deployments. The role involves regular travel to customer sites to lead discovery, prototyping, and go-live phases.
The Data Scientist will design, build, and operationalize intelligent systems, including ML and AI-driven product capabilities. They will partner with cross-functional teams to establish machine learning standards and deliver measurable business impact through data-driven insights.
The Data Engineer is responsible for designing, building, and maintaining scalable ELT/ETL pipelines to support enterprise data needs. They will collaborate with cross-functional teams to develop data models and ensure the reliability, quality, and performance of data assets.
The role involves scoping customer environments, prototyping AI-powered solutions, and hardening these prototypes into production-grade deployments. You will act as a bridge between customers and the core engineering team while providing technical leadership and support throughout the engagement lifecycle.
You will design and own the end-to-end revenue engine architecture, including sales, customer success, and partner operations across multiple brands. This role involves building field enablement, managing the deal desk, and driving automation through applied AI to optimize the customer lifecycle.
You will serve as the hands-on technical lead for client-facing data engineering engagements, owning the architecture and build process. Additionally, you will mentor junior engineers, establish DataOps standards, and ensure the delivery of scalable, reliable data solutions.
You will design and maintain data pipelines to integrate laboratory instruments and third-party platforms into a unified, queryable data foundation. You will also enforce data security and compliance boundaries while supporting analytics, AI systems, and operational decision-making.
The consultant will act as a trusted advisor on data security and governance for AI initiatives, assessing risks and guiding clients through secure data architecture. They will also actively participate in sales conversations to build client trust and close new business engagements.
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The Principal serves as the technical authority for enterprise data governance, designing and implementing platforms for metadata, master data, and data quality. They collaborate with engineering and architecture teams to embed governance controls into data pipelines and ensure automated, scalable, and auditable data management.
Lead the design, implementation, and operation of robust, scalable, and secure cloud-native solutions on AWS and Azure. Collaborate with technical teams to maintain infrastructure-as-code, CI/CD pipelines, and support complex operational systems.
The Solution Engineer designs, builds, and maintains software utilities and automation scripts to support the organization's data governance program. This role involves integrating governance tools, automating data cataloging and classification, and developing self-service access workflows for data assets.
You will architect and expand core data products that scale the advertising business while collaborating with cross-functional teams to model data and develop large-scale processing solutions. You will also own critical portions of the ad data ecosystem and establish best practices for data governance and quality.
The Senior Data & AI Engineer will design and maintain pipelines to transform structured and unstructured EMR data into standardized clinical formats. This role involves building clinical NLP workflows, managing OMOP data models, and collaborating with clinicians to ensure high-quality data integration.
You will lead the Member Innovation Data Engineering team by partnering with data scientists and product managers to guide projects from ideation to production. Additionally, you are responsible for building and developing a diverse, high-performing team through effective coaching and feedback.
You will partner with customers and project teams to translate business requirements into data models and analytical solutions. Additionally, you will maintain data flows, design A/B tests, and validate machine learning models to optimize pricing and inventory decisions.
You will provide engineering support for high-throughput, low-latency LLM inferencing and collaborate with data scientists on model training and data pipelines. Additionally, you will design and maintain scalable solutions to ensure enterprise users interact safely and securely with AI applications.
Design, build, and own low-level systems including Fusion, Fusion Snapshots, Ignite, and Sched to support scientific cloud workloads. Drive performance engineering, set technical standards, and mentor team members to ensure operational excellence.
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The role involves designing and scaling enterprise data and AI solutions, including building AI agents and multi-agent workflows. Additionally, the lead will oversee data engineering projects, implement data governance, and collaborate with cross-functional teams to ensure continuous process improvement.
You will design, build, and scale data pipelines and automated file feeds to deliver critical payroll and benefits data to clients and third-party partners. Additionally, you will maintain production data integrity and develop internal tools to replace manual processes.
You will design and implement highly available, scalable, and performant data streaming services while optimizing system resources. Additionally, you will lead efforts in data collection, processing, and telemetry across multi-tier infrastructure to ensure secure and efficient delivery.
You will partner with project managers and customers to translate business requirements into data models and analytical solutions. Additionally, you will act as a technical lead to design A/B tests, validate machine learning models, and maintain stable data flows.
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