Enterprise Data Engineer

VT Group (VTG); Chantilly (VA); On-site; USD 90,000 - 120,000; Full time

Job summary

VT Group (VTG) is seeking skilled Data Engineers to automate data processing using Python and SQL. You will integrate diverse data sources, implement transformations, and optimize data structures for performance.

The role requires a TS/SCI clearance, a relevant degree, and 3+ years in data engineering. You will collaborate with teams to ensure data quality, governance, and reliable analytics capabilities across the organization.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 3+ years in data engineering.
• Strong Python scripting proficiency.
• Expertise with SQL for data querying and transformation.

Responsibilities

• Write robust Python and SQL scripts to automate data processing tasks.
• Integrate data from databases, APIs, and flat files into centralized systems.
• Implement data transformations, enrichment, and modeling workflows.
• Ensure data structures are optimized for performance and scalability.
• Provide guidance on Palantir tooling across teams.

Skills

Python

SQL

ETL

Palantir

Education

Bachelor's degree in CS/Engineering/Finance

Tools

Palantir

Job description

Overview

VTG is 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?

• Write robust and efficient Python and 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.
• 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 experience in data engineering.
• Strong proficiency in scripting and programming with Python.
• Expertise in working with SQL for data querying, transformation, and optimization.
• Experience with data integration from 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.