Enterprise Data Engineer

Chantilly, VA, US • Posted 1 day ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Unstructured Data
  • Extract
  • Transform
  • Load
  • Data Processing
  • Modeling
  • Workflow
  • Usability
  • Data Structure
  • Scalability
  • Leadership
  • Database
  • Flat File
  • Analytics
  • Data Quality
  • Computer Science
  • Finance
  • Data Engineering
  • Scripting
  • Python
  • SQL
  • Optimization
  • Data Integration
  • Relational Databases
  • File Systems
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Attention To Detail
  • Communication
  • Teamwork
  • Collaboration

Summary

Overview

We are seeking skilled and detail-oriented Data Engineers with 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.

What will you do?

  • Key Responsibilities:
    • Write robust and efficient Pythonand SQL scripts 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.

Do you have what it takes?

  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL806649
  • Position Id: 793fd49815c4dfe3a90e132158f1555f
  • Posted 1 day ago
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