Palantir Data Engineer
Design and maintain optimal data pipeline architectures and governance solutions within Palantir Foundry. Collaborate with business leaders to translate information requirements into data-centric enterprise solutions.
Remote Engineer Jobs
Browse and apply for latest Remote Engineer Jobs and work remotely. Work from home or any place around the world.
Trusted by 300,000+ remote workers worldwide.
Design and maintain optimal data pipeline architectures and governance solutions within Palantir Foundry. Collaborate with business leaders to translate information requirements into data-centric enterprise solutions.
Proactively test and identify vulnerabilities across the external perimeter, VPS, and physical office infrastructure. Collaborate with IT and SOC teams to convert exploitation insights into tuned perimeter controls and defensive guardrails.
Build and manage the platform for the AI Solver, including training data pipelines and the model lifecycle from experiment to production. Operate and scale the AWS service that serves AI models to customers while ensuring reliability and monitoring.
Build end-to-end product features and scalable infrastructure for Codex Security to help organizations find and fix software vulnerabilities. Translate security research into intuitive workflows and design platform controls to make agentic coding safer.
Investigate structural failures and damages in residential, commercial, and industrial buildings to determine root causes. Provide expert opinions and serve as an expert witness in court or depositions for insurers and litigation support.
We watch for new "engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Act as the technical expert to demonstrate the value of Hadoop Observability and Open Data Platform solutions to prospective customers. Collaborate with sales and product teams to design tailored technical solutions, lead POCs, and develop technical proposals.
Act as a technical advisor during the sales cycle to demonstrate how AI can be monitored and secured. Deliver product demonstrations, support proof-of-concept projects, and document innovative customer use cases.
Develop and scale core backend services and Generative AI workflows using FastAPI and MongoDB/Postgres. Collaborate with the team to prototype MVPs and harden them into secure, reliable production systems on AWS.
Define and drive the technical strategy for high-priority backend and data platform initiatives to support global AI and machine learning demands. Architect scalable distributed systems and mentor senior engineers to foster a high-standard engineering culture.
Design and operate privacy engineering services to support data governance, anonymization, and user control. Partner with cross-functional teams to translate privacy requirements into technical specifications and embed controls into the core architecture.
Act as a security expert to help customers understand the Databricks platform's security and handle compliance reviews. Create scalable content such as white papers and slide decks to enable field teams and improve product messaging.
Design and ship AI-powered features and scalable full-stack systems to help users achieve financial goals. Collaborate with Product and Design teams to resolve ambiguity and lead projects from concept to delivery.
Build backend services and APIs that connect CAD platforms like Siemens NX and SOLIDWORKS to cloud-native AI services. Develop Python-based automation for complex engineering workflows and manage CAD assemblies and metadata.
Build backend services and APIs that connect leading CAD platforms like Siemens NX and SOLIDWORKS to cloud-native AI services. Develop Python-based automation for complex engineering workflows and manage CAD assemblies and metadata.
Design and maintain geometry processing and simulation algorithms for engineering applications. Build services for processing 2D/3D engineering data and curate large-scale datasets for AI systems.
Architect and maintain decision science libraries and tooling to accelerate mineral exploration analysis. Collaborate with data scientists and geologists to turn R&D into scalable production pipelines and robust ML systems.
Design, build, and deploy production ranking and recommendation models directly within customer environments to optimize business conversion. Manage the end-to-end ML lifecycle, including data pipeline architecture, model monitoring, and the development of repeatable deployment patterns.
We watch for new "engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Lead the execution of electrical studies across multiple bids and projects while establishing technical standards and QA/QC practices. Coordinate with cross-functional teams to ensure buildable designs for wind, solar, energy storage, and data center projects.
Act as a technical expert during the sales process to design tailored data storage solutions that meet customer business outcomes. Lead technical evaluations, benchmarks, and product presentations to secure technical wins for enterprise accounts.
Architect and maintain foundational scientific computing libraries and scalable ML pipelines for mineral exploration. Collaborate with data scientists and geologists to build models that predict economic ore concentrations in the Earth's crust.
Contribute to the modernization and optimization of the codebase by reducing technical debt and improving code quality. Collaborate with senior engineers to solve technical problems and participate in code reviews using modern AI tools.
Build and scale robust, concurrent core platform components and architect composable systems for high transactional throughput. Define the long-term technical vision and collaborate with ML research scientists to prototype and launch new capabilities.
Embed within strategic client environments to design and build production-grade code and data pipelines that solve high-stakes mission challenges. Act as a technical conduit between clients and core engineering teams to translate operational needs into scalable product features.
The Forward Deployed Engineer embeds with strategic enterprise customers to ensure successful platform implementation and proactive churn prevention. They bridge the gap between technical solutions and business outcomes through system optimizations and executive alignment.
Manage and maintain monitoring systems while performing fault troubleshooting and corrective actions for core network services. Provision and configure core network devices and participate in a 24x7 call-out rotation for infrastructure support.
Design and deploy AI-powered solutions to transform legal and compliance workflows using LLMs and agentic AI. Partner with legal stakeholders to translate complex workflows into production-grade technical applications and evaluation frameworks.
We watch for new "engineer" jobs and email you the matches. Free. Unsubscribe in one click.
The role involves building and operating end-to-end data pipelines and dbt projects to transform raw source systems into governed data marts. You will collaborate with client stakeholders to translate business logic into metric definitions and ensure data quality for AI agents and executive dashboards.
Develop and improve energy forecasting models and control optimization algorithms to support distributed energy services. Design and deploy production-grade code while translating complex datasets into actionable insights for energy industry stakeholders.
Lead complex, enterprise-scale SaaS implementations to ensure technical and commercial objectives are met for clients. Partner cross-functionally to optimize deployment frameworks, influence product roadmaps, and scale delivery capabilities using AI.
Lead the development of core platform services and backend APIs for a ground communications and data-transport platform for US government satellites. The role involves both individual contribution and mentoring junior engineers to build scalable, secure, and resilient cloud services.
Stop the endless job search. Our AI finds and applies to the best jobs for you.