We are seeking a Palantir Data Engineer who leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment. The Data Engineer will also integrate with external systems via API, parse API responses into usable data objects, design user interfaces, and develop custom functions with TypeScript. Data Engineer will conduct code reviews, solution brainstorming, and define UI designs and functionalities. Successful candidate must be able to perform tier 2 level triage with customers and translate concerns into specific requirements. Ability to effectively triage requirements and articulate impacts on the existing environment is critical to mission success. Data Engineer will also develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. Movement of structure and unstructured data using approved methods Execute data ingestion activities for storing data in a local or enterprise level location Develop code to format data that supports exploration Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees