Build and maintain data pipelines in Python, PySpark, and TypeScript to collect, manage, and convert raw data into usable information for clients, data scientists, and business analysts to interpret at Booz Allen
Requirements
- Experience coding in Python
- Experience with data integration and management
- Knowledge of fundamental programming principles or web development
- Experience with R
- Experience with JavaScript, TypeScript, HTML, and CSS
- Experience with version control systems, including GIT
- Knowledge of PySpark
Responsibilities
- 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
Other
- 4+ years of experience working in a professional environment
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor's degree
- Must be on camera during interviews and assessments
- Periodically work from a Booz Allen or client site facility if position is listed as remote or hybrid
