Responsibilities
- Design, develop, and maintain scalable data pipelines and workflows within Palantir Foundry.
- Build and optimize data models, ontology structures, and analytics applications to support business operations and decision-making.
- Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
- Develop and deploy machine learning models, predictive analytics solutions, and statistical analyses using structured and unstructured data.
- Perform data cleansing, transformation, integration, and validation to ensure high-quality datasets.
- Create dashboards, reports, and visualizations to communicate insights and trends to technical and non-technical audiences.
- Support the implementation and maintenance of ETL/ELT processes and data integration solutions.
- Work closely with data engineers, software developers, analysts, and leadership teams to deliver enterprise data solutions.
- Optimize system performance, troubleshoot issues, and ensure platform reliability and scalability.
- Document technical processes, workflows, and solution architectures.
- Maintain data governance, security, and compliance standards throughout the data lifecycle.
- Provide technical guidance and support to users and project teams regarding Foundry capabilities and best practices.
- Stay current on emerging technologies, data science methodologies, and platform enhancements.
Basic qualifications
- Active Secret Clearance or higher.
- Bachelor’s degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, or a related technical field.
- Experience developing solutions within Palantir Foundry or similar enterprise data platforms.
- Strong programming skills in Python, SQL, and/or R.
- Experience building and maintaining data pipelines, ETL workflows, and data integration processes.
- Knowledge of machine learning, statistical modeling, and data analysis techniques.
- Experience working with large, complex datasets from multiple sources.
- Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Foundry applications.
- Understanding of cloud environments, distributed systems, and modern data architectures.
- Strong analytical, problem-solving, and troubleshooting skills.
- Ability to manage multiple priorities and work effectively in a collaborative environment.
- Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Experience with version control, documentation, and Agile development methodologies.
Preferred qualifications
- Master’s degree in Data Science, Computer Science, Analytics, Statistics, or a related field.
- Palantir Foundry certification or advanced platform experience.
- Experience developing machine learning or AI-driven solutions in production environments.
- Familiarity with Spark, PySpark, Hadoop, or distributed computing frameworks.
- Experience with API integrations, data orchestration, and workflow automation tools.
- Knowledge of data governance, cybersecurity, and compliance frameworks.
- Experience supporting government, defense, healthcare, financial services, or other highly regulated industries.
- Strong understanding of DevOps, CI/CD pipelines, and software deployment practices.
- Experience working in cross-functional teams supporting enterprise-scale analytics initiatives.
Tags & focus areas
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