Note: The job is a remote job and is open to candidates in USA. RADYANT INC. is hiring a Senior Data Engineer to build and maintain production-grade data pipelines, integrations, and ontologies in Palantir Foundry. The role also develops data-driven applications and transforms using structured and unstructured data to support mission-critical workflows.
Responsibilities
- Client Success Obsession: A deep commitment to helping clients succeed, even beyond the original scope. You thrive on solving hard customer problems and take pride in delivering solutions that drive real value
- Analytical & Problem-Solving Skills: Strong abilities in breaking down complex problems and constructing end-to-end solutions that work
- Technical Proficiency: Proficiency in relevant programming languages (e.g., Python, TypeScript) and the ability to build applications that utilize large structured and unstructured datasets in production environments
- Independent Ownership: Capability to work autonomously while owning outcomes, with support available but a desire to take the driver s seat
- Real-World Impact Delivery: A proven track record of delivering meaningful outcomes through software and analytical products
- Collaborative Skills: Strong ability to collaborate with teammates and clients of varying technical proficiency, embedding with clients and joining their teams
- Willingness to Travel: Flexibility to travel as needed for client implementation work as needed. In this role, you ll iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. You won t just deploy software you ll help reshape how entire organizations function by providing powerful tools to those who can drive change
- Data pipeline development in Foundry
- Develop transforms on structured (tabular) and unstructured datasets in Foundry
- Apply best practices when building data pipelines
- Data pipeline maintenance in Foundry
- Effectively investigate and fix common issues in data pipelines
- Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows
- Set up sources and syncs ingesting tabular data or raw files from external systems to Foundry
- Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements
Skills
- [USC/Citizens- Active Secret Clearance-- Required]
- Bachelor s degree in Computer Science or related field
- No dual citizens
- Proven experience building data pipelines, managing datasets, and deploying applications within Foundry
- Practical skills required to build and maintain production-grade data pipelines, data connections, and ontologies
- General knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineer
- Data pipeline development in Foundry
- Develop transforms on structured (tabular) and unstructured datasets in Foundry
- Apply best practices when building data pipelines
- Data pipeline maintenance in Foundry
- Effectively investigate and fix common issues in data pipelines
- Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows
- Familiarity with recommended support structures
- Data connection and integration in Foundry
- Familiarity with architecture and capabilities of Data Connection
- Set up sources and syncs ingesting tabular data or raw files from external systems to Foundry
- Ontology design and development in Foundry
- Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements
- Demonstrated ability to build production-grade code that leverages both structured and unstructured datasets
- Strong foundation in machine learning
- Strong programming skills with demonstrated proficiency in Python, Java, C++, TypeScript/ JavaScript, or similar
- Experience building solutions with large language models
Benefits
- Fully remote (Washington, DC or nearby candidates).
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