DynPro Inc.

Palantir Lead Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir Lead Engineer with 5+ years of data engineering experience, including 2–3+ years in Palantir Foundry. Contract length is unspecified, with a competitive pay rate. Hybrid work location. Key skills include SQL, Python, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
880
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🗓️ - Date
January 15, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Airflow #Palantir Foundry #Data Integration #Visualization #Cloud #Leadership #Security #Agile #Data Ingestion #Deployment #AWS (Amazon Web Services) #Automation #Data Processing #"ETL (Extract #Transform #Load)" #Azure #Python #Apache Airflow #SQL (Structured Query Language) #Compliance #Scala #Data Engineering #GCP (Google Cloud Platform) #Data Security #Data Architecture #Documentation #Data Lake
Role description
Job Overview We are seeking an experienced Palantir Lead Engineer with deep, hands-on expertise in Palantir Foundry and a strong forward deployment mindset to lead high-impact data integration and analytics initiatives. This role is ideal for a strategic, execution-focused engineer who can embed directly with client teams to operationalize complex data workflows, drive platform adoption, and deliver measurable business outcomes at scale. Key Responsibilities • Lead end-to-end deployment and integration of Palantir Foundry solutions, ensuring alignment with client business objectives and data architecture standards. • Serve as a forward deployment engineer, working closely with client teams (remotely or onsite) to configure, customize, and optimize Foundry pipelines, applications, and data models. • Partner with data engineers, analysts, and business stakeholders to translate requirements into scalable Foundry workflows and automated processes. • Design and implement robust data ingestion, transformation, and orchestration pipelines leveraging the full Foundry platform. • Diagnose and resolve complex technical issues to ensure platform stability, performance, and availability. • Coach and enable client teams on Foundry best practices to drive adoption and long-term self-sufficiency. • Maintain clear technical documentation and provide regular status updates on milestones, risks, and outcomes. • Identify opportunities to enhance workflows, automation, and data usage to maximize business value and ROI. Required Qualifications • 5+ years of experience in data engineering, analytics, or a related technical role, including 2–3+ years leading Palantir Foundry implementations. • Proven experience in forward deployment or client-facing technical leadership roles on complex data platform engagements. • Deep hands-on expertise with Palantir Foundry, including data integration, pipelines, analytics, and visualization. • Strong understanding of cloud platforms (AWS, GCP, or Azure) and modern data architectures (data lakes, warehouses, lakehouse). • Proficiency in SQL, Python, and/or Scala for data processing and pipeline development. • Excellent communication skills with the ability to convey complex technical concepts to both technical and executive audiences. • Experience working in Agile environments with cross-functional teams. • Willingness to travel to U.S. client sites as needed. Preferred Qualifications • Experience supporting healthcare, insurance, or financial services data workflows. • Familiarity with orchestration and automation tools outside of Foundry (e.g., Apache Airflow, Camunda). • Knowledge of data security, governance, and compliance best practices. What We Offer • Opportunity to lead strategic Palantir deployments for large enterprise clients. • Hands-on exposure to cutting-edge data platforms and advanced analytics use cases. • Collaborative, high-impact work environment with experienced technical teams. • Competitive contract compensation.