Key skills
PythonScalaSQLData EngineeringAnalyticsAirflowApache AirflowAWSAmazon Web ServicesAzureGCPGoogle CloudAgileCommunication
About this role
DynPro Inc. is seeking a hands-on Palantir Engineer with strong experience in Palantir Foundry to support the delivery of scalable data integration and analytics solutions. The role involves collaborating with senior engineers and client stakeholders to configure, deploy, and optimize Foundry solutions that drive measurable business outcomes.
Responsibilities:
- Design, develop, and maintain Palantir Foundry pipelines, ontology objects, data models, and applications
- Translate business requirements into scalable Foundry workflows
- Configure and deploy Foundry solutions while adhering to architectural and governance standards
- Build and optimize data ingestion, transformation, and orchestration pipelines
- Troubleshoot technical issues to ensure platform reliability, performance, and data integrity
- Document technical designs, workflows, and implementation best practices
- Participate in client workshops and solution demonstrations
- Identify opportunities to enhance automation, efficiency, and data utilization
Requirements:
- 5+ years of experience in data engineering, analytics engineering, or related technical roles
- 2+ years of hands-on experience with Palantir Foundry implementations
- Strong experience building and maintaining: Foundry pipelines, Ontology objects, Data integrations, Foundry applications
- Solid understanding of modern data architectures: Data lakes, Data warehouses, Lakehouse patterns
- Experience with at least one major cloud platform: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure (Azure)
- Strong proficiency in SQL and Python (Scala is a plus)
- Comfortable working in client-facing environments with strong communication skills
- Experience in Agile or fast-paced project delivery environments
- Experience in forward deployment-style engagements
- Exposure to regulated industries (healthcare, insurance, financial services)
- Familiarity with orchestration/automation tools (e.g., Apache Airflow)
- Strong understanding of data governance, security, and compliance frameworks