1,683 Data Engineering jobs available for remote work from home. Apply for positions such as Enterprise Data Administrator, Director of Business Intelligence, Senior Data Engineer – Data Quality & Observability | Remote 1789, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Own and operate the enterprise data platform, focusing on Microsoft Fabric, Lakehouse management, and the creation of trusted Gold datasets. Build and maintain ETL/ELT pipelines while providing SQL Server administration support for GIS and other enterprise systems.
Own the end-to-end data graph and serve as the single source of truth for data accuracy and quality across the business. Design and maintain BI dashboards in Sigma while translating complex data into actionable commercial insights for business leaders.
Lead the implementation of a scalable data quality and observability framework using GX Core to detect and prevent data issues. Design automated validation checks, maintain data lineage, and integrate quality validations into CI/CD pipelines.
The role involves rating AI model performance, labeling content, and creating prompts to improve LLM reasoning and language capabilities. Responsibilities also include generating training data, rewriting text for clarity, and compiling digital content for model fine-tuning.
The role focuses on ensuring the scientific coherence of a multimodal data platform by bridging molecular science and data engineering. Key duties include prototyping data offerings, translating client research objectives into data strategies, and providing subject matter expertise in oncology, neurology, and immunology.
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Build and own the shared AI infrastructure, including retrieval, grounding, and evaluation services, to support multiple product teams. Drive the adoption of these AI capabilities across the organization and manage the lifecycle of LLM and ML work streams.
Define and govern large-scale data architecture, including batch/streaming platforms and AI-enabled workflows. Lead the establishment of data quality standards, governance, and observability frameworks while mentoring engineering teams.
Define and govern the long-term vision for AI-enabled data architecture, including batch, streaming, and lakehouse platforms. Establish standards for data quality, governance, and observability while mentoring engineering teams to scale AI-driven workflows.
Develop and manage complex data sets and interactive dashboards to track KPIs for LTSS and Dual Eligible programs. Collaborate cross-functionally to optimize business processes and provide actionable insights for executive leadership.
Serve as a technical advisor to enterprise customers by designing and optimizing scalable data and AI architectures on the Databricks Lakehouse Platform. Lead architecture workshops, mentor client teams, and support business development through technical discovery and proof-of-concept activities.
The CFO will serve as the CEO's strategic partner, overseeing capital allocation, commercial strategy, and the overall financial future of the company. They will lead the finance function, manage FinOps and compliance, and drive performance insights to inform business decisions.
Serve as a technical advisor to enterprise customers to design, implement, and optimize modern data platforms using the Databricks Lakehouse Platform. Lead architecture decisions, mentor client teams, and support business development through technical discovery and proof-of-concept activities.
Serve as a technical advisor to enterprise customers to design, implement, and optimize modern data platforms using the Databricks Lakehouse Platform. Lead architecture decisions, conduct workshops, and drive the adoption of AI and data initiatives to ensure measurable business value.
Serve as a technical advisor to enterprise customers to design, implement, and optimize modern data platforms on the Databricks Lakehouse Platform. Lead architecture decisions, drive platform adoption, and mentor client teams on data and AI best practices.
Serve as a technical advisor to enterprise customers by designing and optimizing scalable data and AI architectures on the Databricks Lakehouse Platform. Lead architecture workshops and drive the successful adoption of data pipelines and governance frameworks.
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The Sales Engineer designs and implements proof-of-concept solutions to help customers solve complex data challenges using the Astro platform. They act as a technical advisor to engineering teams and provide field insights to the Product team to influence the platform's evolution.
Lead the experimentation engine and analytics strategy for a high-growth business segment to drive performance and investment decisions. Build reporting backbones and provide driver-based insights on revenue and margin performance to executive leadership.
Own the full lifecycle of customer value by conducting blockchain investigations and designing tailored technical solutions. Act as a primary technical advisor to enable customers to operationalize Chainalysis tools independently within their infrastructure.
Design and maintain large-scale data pipelines and polyglot data infrastructure to support AI and BI systems. Build and operate services, APIs, and dbt models to turn multimodal datasets into reliable production products.
Lead quality assurance and define the test strategy for a large-scale cloud data engineering programme on AWS. Oversee automated testing frameworks, data pipeline validation, and risk management within a CI/CD environment.
The role involves analyzing business requirements to design and implement conceptual, logical, and physical data models within an Azure-based platform. Key tasks include building medallion architectures and developing data pipelines to integrate SAP source systems for Power BI reporting.
Lead the design, development, and governance of enterprise BI solutions using the MicroStrategy platform. Collaborate with stakeholders and data engineering teams to deliver scalable, high-performing analytics and reporting environments.
Design, build, and launch scalable data pipelines to integrate customer datasets and financial data. Monitor pipeline reliability and translate business requirements into analytical insights to create business value.
The TBM Product Owner defines and delivers Technology Business Management capabilities using ApptioOne and Cloudability to drive cost transparency and optimization. They act as a bridge between Finance, Technology, and Engineering teams to align platform capabilities with enterprise financial objectives.
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Design, build, and maintain scalable data pipelines and infrastructure using AWS and Terraform. Partner with cross-functional teams to develop data models and ETL processes that support financial reporting and analytics.
Define and scale a global omni-channel lifecycle engine to drive member engagement and loyalty across hosting and traveling flywheels. Establish the lifecycle marketing function from the ground up, managing everything from strategic roadmaps to hands-on campaign execution.
Provide architectural oversight for the company's data platform, focusing on the design and implementation of high-quality data solutions within Palantir Foundry. Lead design reviews for data pipelines and ontology resources to ensure scalability, integrity, and alignment with enterprise standards.
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