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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Falcon - **Location:** United States - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Dataspaces, Apache Hive, Python (Programming Language), Machine Learning, Meta-Data Management, Software Construction, Software Deployment, SQL Databases, Data Streaming, Software Repository, Git, Data Layers, Pyspark, Git Flow, Information Technology, Data Lineage, Stream Processing, Data Pipelines - **Published:** September 21, 2026 - **Apply:** https://computerjobs.com/us/en/mob/job/961DD647D2E7B2B21E ## About the Role Experience Requirement: 5+ years in Data Engineering, including 1-2 years of strong hands-on Palantir Foundry experience., * Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field. * 5+ years of professional experience in Data Engineering, including 1-2 years of strong hands-on Palantir Foundry experience. * Proven experience working with Palantir Foundry in a production environment. * Strong proficiency in Python, SQL, PySpark, and Spark SQL. * Experience delivering production-grade data pipelines in AWS, Azure, or GCP. * Strong understanding of data modeling, schema design, metadata management, data quality, and governance. * Familiarity with CI/CD, Git-based workflows, automated testing, and software engineering best practices. * Strong problem-solving and troubleshooting skills, with the ability to work effectively in complex data environments. * Excellent communication and collaboration skills, with the ability to work across engineering, analytics, product, and business teams. Preferred/Nice-to-Have Skills * Experience building and maintaining Foundry Ontologies and semantic models. * Experience with Foundry Workshop, Quiver, Actions, and operational workflows. * Experience with streaming data architectures and Real Time data processing. * Experience implementing data governance, observability, and data quality frameworks. * Familiarity with machine learning data pipelines and ML-oriented data products. * Experience working in large-scale, federated, or enterprise data environments. ## Description We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will collaborate closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production-grade data foundations that enable analytics, automation, and operational decision-making. You will play a key role in shaping our data ecosystem, with a strong focus on reliability, performance, scalability, data quality, and long-term sustainability., * Design, develop, and maintain end-to-end data pipelines using Palantir Foundry, including Pipeline Builder, Code Repositories, Data Lineage, Ontology, Workshop, Quiver, and related Foundry capabilities. * Implement batch, incremental, and streaming ETL/ELT workflows using reusable, scalable, and production-ready components. * Build and maintain high-quality, version-controlled data products aligned with business and analytical requirements. * Work across federated data environments, integrating diverse data sources and addressing complex data integration challenges. * Design, extend, and maintain Foundry Ontologies, including object types, link types, property types, and semantic relationships. * Develop semantic data layers that support analytics, operational workflows, automation, and machine learning use cases. * Establish and enforce strong data quality practices through validation, lineage, monitoring, and governance frameworks. * Monitor and optimize pipeline performance for scalability, reliability, cost efficiency, and processing speed. * Implement automated testing, CI/CD workflows, Git-based development practices, and deployment best practices for Foundry data assets. * Troubleshoot production issues, perform root-cause analysis, and implement sustainable long-term solutions. * Translate ambiguous business requirements into scalable, maintainable, and production-ready data engineering solutions. * Support Foundry Workshop applications, dashboards, and end-user analytical experiences. * Collaborate effectively with technical and non-technical stakeholders and communicate data architecture, pipeline behavior, dependencies, and limitations clearly. ## Related Videos - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Why Git Still Matters](https://www.wearedevelopers.com/videos/100288-why-git-still-matters) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)