Haystack
← Back to Jobs
Employee
Technology
AE

Lead AI & Data Analytics Engineer (Palantir) with Security Clearance

Anonymous EmployerArlington, VA🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

Elevate your career by leading innovative AI and data analytics initiatives within a hybrid environment, directly impacting federal acquisition modernization. You'll thrive in this role if you're a self-starter with a passion for building impactful data products, possess strong stakeholder engagement skills, and are eager to leverage your Palantir Foundry expertise to drive significant technological advancements.

Quick Overview

Seniority
Mid Senior
Employment type
Employee
Work mode
Hybrid
Location
Arlington, VA, United States
Posted
18 hours ago
SQLAWSMachine LearningNLPSnowflakeApacheAzureDatabricksGenerative AIHadoopJavaScriptKafkaPower BIPythonTypeScript

Job Description

This is a full-time opportunity with hybrid flexibility in the D.C. metro area. 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.

Required Qualifications

  • 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.

Similar jobs