Full-Time
Data Engineer
Bespoke Technologies
No salary listed
No H1B Sponsorship
Chantilly, VA, USA
In Person
US Top Secret Clearance Required
Category
 Data & Analytics (1) |
|---|
Required Skills
Python
JavaScript
Data Structures & Algorithms
Java
Data Engineering
TypeScript
C/C++
Requirements
- A minimum of 3-5 years of experience with Python, Palantir Foundry, Palantir Pipeline Builder, Palantir Workshop, and TypeScript.
- Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar languages.
- Understanding of XML, YAML, and JSON files and their roles within a system.
- Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
- Understanding of how technical decisions impact the user of what you are building.
- An active polygraph clearance is required.
Responsibilities
- Leverage advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment.
- Own workflows, configuration, and management of a Palantir-based application.
- Integrate with external systems via application programming interfaces and parse application programming interface responses into usable data objects.
- Design user interfaces and develop custom functions with TypeScript.
- Conduct code reviews, solution brainstorming, and define user-interface designs and functionalities.
- Perform tier 2 level triage with customers and translate concerns into specific requirements.
- Triage requirements and articulate impacts on the existing environment.
- Develop new tools, code, and services for data engineering activities involving data of varying types and conditions.
- Move structured and unstructured data using approved methods.
- Execute data ingestion activities for storing data in local or enterprise-level locations.
- Develop code to format data that supports exploration.
- Analyze source data formats and work with Data Scientists and partners to determine formats and transformations that meet program objectives.
- Develop code and tools for one-time and ongoing data extraction from various repositories, including formatting and transformations into enterprise or standalone data models.
- Develop new extract, transform, load processes and perform operations, maintenance, and enhancements on existing extract, transform, load code using best practices and standards.
- Develop and deliver project documentation, including extract, transform, load mappings, code-use guides, code locations, and access instructions.
- Define and implement complex data workflows for analytic systems.
- Manage data-retention policies, including performing data deletion.
- Manage USP data within the Intelligence Community under Community of Interest authorities.