Palantir Data Engineer

Booz Allen HamiltonAtlanta, GA
14d

About The Position

Palantir Data Engineer Key Role: Apply a broad understanding of computer and information science principles to build and maintain data pipelines in Python, PySpark, and TypeScript. Import and sync to various data sources, clean and standardize data elements, and fix data quality issues. Collect, manage, and convert raw data into usable information for clients, data scientists, and business analysts to interpret. Use code authoring tools in designated platforms to make data accessible so that organizations can use it to evaluate and optimize policy. Build processes for users and data owners to interact with their data in platform using a variety of technologies, including Python, TypeScript, and JavaScript. Develop innovative solutions to complex data-driven problems and operate with substantial latitude for unreviewed action or decision. This position is located in Atlanta, GA.

Requirements

  • 4+ years of experience working in a professional environment
  • 1+ year of experience with Palantir Foundry
  • Experience with coding in Python
  • Experience with data integration and management
  • Knowledge of fundamental programming principles or web development
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree

Nice To Haves

  • Experience with R
  • Experience with JavaScript, TypeScript, HTML, and CSS
  • Experience with version control systems, including GIT
  • Experience leading and mentoring teams
  • Experience working in a public health environment
  • Experience with Artificial Intelligence, such as Palantir Foundry AIP
  • Knowledge of PySpark
  • Knowledge of Agile and Scrum processes
  • Master's degree

Responsibilities

  • Build and maintain data pipelines in Python, PySpark, and TypeScript
  • Import and sync to various data sources
  • Clean and standardize data elements
  • Fix data quality issues
  • Collect, manage, and convert raw data into usable information
  • Use code authoring tools in designated platforms to make data accessible
  • Build processes for users and data owners to interact with their data in platform
  • Develop innovative solutions to complex data-driven problems

Benefits

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
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