Enterprise Data Engineer

We are seeking skilled and detail-oriented Data Engineerswith expertise in utilizing Python, SQL, and Palantir(or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources.. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.

• Key Responsibilities:

  • Write robust and efficient PythonandSQLscripts to automate data processing tasks.
  • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
  • Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
  • Ensure data structures are optimized for performance and scalability.
  • Provide technical guidance and support to ensure effective use of Palantir tools across teams.
  • Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
  • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
  • Ensure proper data transformation and curation to meet business and analytics requirements.
  • Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes.

• Active TS/SCI W/ Polygraph required.
• Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience.
• • 3+ years of experiencein data engineering.
  • Strong proficiency in scripting and programming with Python.
  • Expertise in working with SQLfor data querying, transformation, and optimization.
  • Experience with data integrationfrom diverse sources such as APIs, relational databases, and file systems.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and teamwork skills to collaborate with technical and business teams.