1,894 Data Engineering jobs available for remote work from home. Apply for positions such as Senior Engineer, Core Products, Staff Business Analyst (Employer of Record), CRM Operations Manager, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will lead the development of core products by architecting scalable systems and integrating AI-native workflows into the development lifecycle. You will also own the full feature lifecycle, from technical strategy and design to post-launch performance monitoring and business impact analysis.
The Staff Business Analyst will lead data strategy, governance, and standards while partnering with cross-functional teams to design scalable data solutions. They will also drive advanced analytics and insight generation to support executive decision-making and business value realization.
The CRM Operations Manager will strengthen the data foundation and operational mechanics of lifecycle marketing programs by managing platforms like Braze and Amplitude. This role involves enabling team efficiency through automation, process documentation, and cross-functional collaboration to deliver personalized user experiences.
You will own the end-to-end systems design of the product data stack and drive the architecture roadmap for the data platform. You will also define data movement standards, lead vendor evaluations, and ensure compliance with user data policies.
You will design and maintain data models and pipelines to support identity graph construction and entity matching across various data sources. Additionally, you will build metrics and dashboards to quantify match quality and stability while collaborating with cross-functional teams to define identity requirements.
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The specialist will conduct real-time voice conversations with AI models to evaluate their performance based on defined quality criteria. They are responsible for documenting observations, identifying error clusters, and providing a detailed rationale for model preference.
Architect and deploy LLM-powered agentic AI solutions to automate claims intake, fraud detection, and resolution workflows. Develop multi-agent systems and document intelligence pipelines while ensuring compliance with Responsible AI standards.
The Senior Pharmacy Performance Specialist acts as a liaison between Finance, Analytics, IT, and Pharmacy to manage data content and business logic. This role involves gathering requirements, performing analysis, and supporting the development and testing of processes for the Pharmacy Department.
Design and deliver Snowflake architectures on AWS while leading the development of AI-enabled solution patterns and analytics workflows. Provide technical leadership, oversee project delivery, and maintain trusted relationships with clients as a technical advisor.
Design, develop, and maintain scalable enterprise data warehouse solutions and efficient ETL/ELT pipelines. Collaborate with analytics and application development teams to ensure data platforms are reliable, high-performance, and aligned with business requirements.
Design, build, and maintain scalable batch and streaming data pipelines using PySpark and Databricks. Implement data quality frameworks, optimize Spark performance, and manage data lineage for federal client systems.
The Lead Data Analyst acts as a strategic advisor to design and implement marketing analytics programs that drive cross-channel success. They lead cross-functional initiatives, develop predictive models, and translate complex customer data into actionable business insights.
You will build and maintain scalable backend services and responsive frontend interfaces to validate and resolve data issues for a marketing analytics platform. The role involves defining problems, gathering context, and shaping practical solutions while utilizing AI-assisted development tools.
The Senior Associate will champion data-driven decisions across critical business initiatives and lead the design, execution, and analysis of A/B experiments. They will also partner with marketing, product, and business development teams to optimize user acquisition and operational efficiency.
The Director of Data Engineering will lead the strategy and implementation of the Enterprise Data Lake, ensuring high-quality data movement and standardized operational data products. They will also mentor global engineering teams and champion innovation in cloud-based data architecture and delivery processes.
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 integration workflows, and collaborate with cross-functional teams to meet business requirements.
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The Data Analytics Consultant will architect, design, and develop end-to-end analytical data solutions while collaborating with stakeholders to gather requirements. They will also provide expertise in data modeling, manage BI frameworks, and support business development efforts through technical documentation and presentations.
The Director will design and implement AI-powered automated data pipelines and maintain centralized feature stores to support enterprise data science. They will also partner with IT to optimize analytics platform architecture and establish SLAs for data quality and availability.
Design and implement intelligent, AI-powered automated data pipelines and scalable repositories to support enterprise data science. Build and maintain centralized feature stores and self-service data access layers to empower data scientists and analysts.
The Principal Data Engineer defines and implements enterprise-scale data architecture while actively developing and optimizing data pipelines and platform capabilities. This role provides technical leadership and mentorship to engineering teams while partnering with stakeholders to translate quantitative assessments into actionable insights.
The Senior Manager, Organic Analytics will lead analytical work across SEO, AEO, and website performance to understand how organic discovery contributes to student demand. They will translate complex data findings into clear, decision-ready recommendations for stakeholders.
The Staff DevOps Engineer will architect and evolve CI/CD pipelines, Kubernetes infrastructure on AWS EKS, and developer experience tooling. They will also provide technical leadership, mentor team members, and drive platform reliability through observability and automation.
The Data Architect will lead the design, implementation, and management of complex data infrastructures across multiple projects. They will also provide leadership on enterprise-level data integration strategies and mentor team members in developing high-quality data pipelines.
The Data Scientist will independently scope and deliver end-to-end data science projects, including model development, validation, and productionization. They will also partner with engineering teams to deploy models and provide data-driven recommendations to leadership to influence business decisions.
The Senior Manager will own the end-to-end measurement of marketing performance, including attribution, funnel health, and pipeline forecasting. They will also integrate AI-driven insights into the marketing stack to optimize channel performance and support executive decision-making.
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You will lead and execute core 0-to-1 initiatives in the Space Tech domain, translating strategic vision into concrete execution roadmaps. You will architect scalable solutions and drive rapid implementation from prototype to production to support department growth.
Design and build executive-ready applications on Databricks Apps while translating stakeholder needs into functional products. Participate in client workshops and status reviews to communicate technical progress and integrate AI/ML capabilities into data-driven solutions.
The Senior Researcher will advance a research agenda by developing new algorithms, prototypes, and theories while collaborating with product and business groups. They are responsible for identifying research problems that impact business opportunities and publishing high-quality papers in top-tier conferences.
Design, develop, and maintain squad-specific data architectures and pipelines while supporting business objectives through complex technical solutions. You will also mentor team members, define data standards, and contribute to the evaluation of emerging data engineering tools.
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