Palantir Data Engineer

Booz Allen Hamilton • Atlanta, GA

76d • $77,500 - $176,000

About The Position

As a Data Engineer at Palantir, you will apply a broad understanding of computer and information science principles to build and maintain data pipelines using Python, PySpark, and TypeScript. Your role will involve importing and syncing various data sources, cleaning and standardizing data elements, and addressing data quality issues. You will collect, manage, and convert raw data into usable information for clients, data scientists, and business analysts. Additionally, you will use code authoring tools to make data accessible for organizations to evaluate and optimize policy. You will also build processes for users and data owners to interact with their data on the platform using various technologies, including Python, TypeScript, and JavaScript. This position requires developing innovative solutions to complex data-driven problems and operating with substantial latitude for unreviewed action or decision.

Requirements

• 4+ years of experience working in a professional environment.
• 1+ years of experience with Palantir Foundry.
• Experience 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.
• 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 data from various sources.
• Clean and standardize data elements.
• Fix data quality issues.
• Collect, manage, and convert raw data into usable information.
• Make data accessible for organizations to evaluate and optimize policy.
• Develop processes for users and data owners to interact with their data.
• Create innovative solutions to complex data-driven problems.

Benefits

• Health, life, and disability insurance.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree