> Markdown version of [/jobs/ext/2847752-lead-ai-data-analytics-engineer-palantir](https://www.wearedevelopers.com/jobs/ext/2847752-lead-ai-data-analytics-engineer-palantir). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI & Data Analytics Engineer (Palantir) - **Company:** Anonymous Employer - **Location:** Arlington, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Data Analysis, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, Operational Data Store, Power BI, Search Technologies, SQL Databases, Systems Integration, TypeScript, Azure Data Factory, Snowflake, Apache Spark, Generative AI, Data Lakes, AWS Glue, Data Analytics, Apache Kafka, Apache Nifi, Powerapps, Databricks - **Published:** September 11, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9154085/lead-ai-data-analytics-engineer-palantir ## About the Role 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development. - Experience building analytics products in Palantir Foundry. - Experience working with Advana, Jupiter, or similar federal/DoD data environments. - Strong experience with SQL, Python, TypeScript/JavaScript. - Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake). - Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions. - Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data. - Strong understanding of data governance, data quality, access control, and responsible AI practices. - Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight. - Strong client-facing communication skills and stakeholder engagement skills. - Eligible to obtain a U.S. Government clearance - Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate. ## Description We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks. This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)