2,651 Data Engineer jobs available for remote work from home. Apply for positions such as Engineering Manager - Data, Engineering Manager - Data, Manager, Data Center Engineering (Civil) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Manage a team of cloud engineers and architects while overseeing data delivery engagements and technical project accountability. Lead technical discussions with customers, perform code reviews, and guide the career development of direct reports.
Manage a team of cloud engineers and architects while overseeing data delivery engagements and technical strategy. Lead technical discussions with customers, perform code reviews, and guide the career development of direct reports.
Oversee engineering activities related to land preparation for data center construction and ensure utility integration. Manage multiple projects, ensuring timely completion and compliance with regulations.
The manager will build and lead a team of software engineers, focusing on hiring and growth, while collaborating with data scientists and geoscientists to plan and deliver impactful projects that accelerate exploration efforts. This role involves strategic planning with leadership and coaching the team to enhance cross-company partnerships, dedicating about one-third of time to individual contribution projects.
This role involves building and leading a cross-disciplinary organization focused on Clinical Engineering, Data Warehousing, and Data Analytics to deliver data-driven clinical engineering outcomes and AI-enabled insights for the Dental Solutions business. The manager will define and scale an integrated capability connecting clinical science, digital platforms, advanced analytics, and AI to translate clinical intent into measurable outcomes that improve efficacy and differentiation.
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The incumbent will act as the primary point of contact for clients, developing strong relationships while coordinating multiple disciplines as the lead mechanical engineer to ensure projects are delivered on time and within budget. Responsibilities include developing detailed specifications for mechanical equipment, analyzing system performance, and providing technical support during construction.
The incumbent will be responsible for designing, implementing, and maintaining electrical systems in large-scale data centers, ensuring reliability, efficiency, and safety. This includes developing schematics, ensuring code compliance, analyzing systems for optimization, and acting as the Engineer of Record.
You will lead a team of 35 engineers across data and integration functions to build scalable enterprise data foundations and reliable healthcare system integrations. Your role involves establishing operational processes, developing engineering managers, and ensuring the delivery of high-quality, AI-driven analytics products.
The role involves architecting and maintaining a scalable, metadata-driven test automation framework for complex data pipelines and platforms. You will lead quality initiatives, enforce DataOps practices, and collaborate with cross-functional teams to ensure data reliability and observability.
Lead a DevOps team to develop, deploy, and maintain data and cloud platforms while ensuring efficient software delivery. Collaborate with cross-functional stakeholders to align infrastructure roadmaps and maintain high-performance, compliant systems.
Lead and mentor a team of engineers while managing the development and evolution of critical data ecosystem tools. Collaborate with stakeholders to translate product vision into robust technical solutions and ensure service reliability through SRE processes.
Direct and mentor a team of data science support engineers to provide timely analytics for production teams within a regulated environment. Lead the team during critical production incidents and manage infrastructure for operational visibility and efficiency.
You will design and execute rigorous A/B tests and causal inference analyses to optimize messaging strategies across various Netflix channels. Additionally, you will build and automate data pipelines and dashboards to provide actionable insights for cross-functional partners.
The Engineering Manager will lead the Big Data Engineering team, overseeing mission execution, code quality, and team morale. They will partner with product managers to drive business value while coaching engineers to foster a culture of excellence and professional growth.
You will own the data platform and engineering motion, replacing manual deploy models with automated, agentic workflows. You are responsible for defining data quality standards, enforcing security and governance, and building a portfolio of internal data products.
The Senior Engineering Manager leads the mechanical engineering team in designing mission-critical data center projects while ensuring quality, budget, and schedule adherence. They are also responsible for staff development, business growth, and maintaining strong client relationships.
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The Engineering Project Manager will lead engineering projects, manage project execution, and oversee schedules, financial health, and risk management. They will also foster client relationships, supervise technical teams, and ensure high-quality deliverables across multiple projects.
The Senior Engineering Manager leads the electrical design and analysis team for data center projects, ensuring quality, budget, and schedule adherence. They are also responsible for staff development, business growth, and providing technical leadership across the organization.
Lead the technical strategy and execution for AI, ML, and data systems to enhance offensive security capabilities. Manage and mentor a high-performing team of data scientists and ML engineers while overseeing the full lifecycle of data pipelines and predictive models.
Lead the User Data & Consent subdomain by managing engineering managers and senior ICs to ensure reliable and compliant data collection and storage. Develop a multi-year technical vision for managing first-party user data and consent at scale while mitigating compliance risks.
The role focuses on hunting and closing complex, multi-stakeholder enterprise deals ranging from $250K to $5M+. Responsibilities include building a pipeline from scratch and partnering with architects to deliver AI, data, and cloud engineering solutions.
Provide technical leadership for the administration, operational reliability, and governance of enterprise BI platforms including Tableau Cloud, Power BI, and Microsoft Fabric. Manage day-to-day operations, Tier 2/3 support, and collaborate with security and infrastructure stakeholders to implement institutional standards.
Lead the technical strategy and architecture for multi-team Azure modernization and data transformation programs. Mentor senior engineers and architects while aligning client business goals with scalable technical designs.
Design and maintain scalable data pipelines, ETL workflows, and infrastructure for training and serving ML models in production. Partner with Research and Data Science teams to implement monitoring, observability, and infrastructure as code on cloud platforms.
Accountable for the vision, strategy, and execution of the enterprise data platform and engineering capabilities to enable business growth. This role focuses on operationalizing AI solutions and managing the lifecycle of data products to optimize retail operations.
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Evaluate and task AI models to complete complex engineering workflows and procedures. Label, proofread, and improve engineering-related outputs to ensure accuracy and adherence to style guides.
The Vice President of Data & AI Engineering defines and executes the enterprise strategy for AI, generative AI, and data platforms to drive innovation across SaaS products. This role leads global engineering teams and partners with cross-functional leadership to integrate scalable, secure, and responsible AI capabilities.
The Engineering Manager will lead the China Routing and Data team, focusing on defining and driving long-term technical strategy and architecture for CS foundation systems. Responsibilities include leading technical initiatives, collaborating with cross-functional partners to deliver high-quality products, and nurturing a culture of technical quality and engineering excellence.
This role involves extending and expanding technical leadership knowledge through technical decision-making, guiding junior team members, and developing client relationships, all while remaining hands-on in areas of expertise focused on the Azure technology stack. The position requires designing and implementing data architectures for various data formats in cloud and hybrid environments, utilizing expertise in data modeling and Azure Data Platform services.
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