Vantage Point Consulting
JOB DESCRIPTION
Qualifications
Must have at least 2 years of experience with the Palantir platform ( Foundry or Gotham) and understanding of the end to end processes from data workflows to customization of UI
Open to being stronger in the back end or front end but must have exposure with both sides (data layer + confirmation layer)
Proficiency in languages like Python, SQL, TypeScript (nice to have for UI customization), and relevant tools, libraries, and frameworks
Financial services or fraud investigation related projects
Building full stack low code/no code applications in Palantir
Responsibilities
Emphasizes building and maintaining high-performance, scalable, and reliable software systems for data-driven decisions and operations Work on various aspects of the Palantir platforms, including backend systems, infrastructure, and developer productivity Involved in forward-deployed roles, working directly with customers to solve their specific problems and customizing Palantir configurations Building and maintaining software for Palantir's platforms, including Foundry and Gotham Developing and maintaining data pipelines, ETL workflows, and data integration solutions (Ontology, Code Workbooks, Pipeline Builder) Building and maintaining distributed systems, cloud infrastructure, and storage systems Participating in sprint planning, retrospectives, and working in Agile environments Working with other engineers, data scientists, analysts, and mission stakeholders to refine data models and implement solutions
Emphasizes building and maintaining high-performance, scalable, and reliable software systems for data-driven decisions and operations Work on various aspects of the Palantir platforms, including backend systems, infrastructure, and developer productivity Involved in forward-deployed roles, working directly with customers to solve their specific problems and customizing Palantir configurations Building and maintaining software for Palantir's platforms, including Foundry and Gotham Developing and maintaining data pipelines, ETL workflows, and data integration solutions (Ontology, Code Workbooks, Pipeline Builder) Building and maintaining distributed systems, cloud infrastructure, and storage systems Participating in sprint planning, retrospectives, and working in Agile environments Working with other engineers, data scientists, analysts, and mission stakeholders to refine data models and implement solutions