Data Engineer: Enterprise-Scale Pipelines & Cyber Defense

MANTECH; Herndon (VA); On-site; USD 100,000 - 150,000; Full time

Job summary

MANTECH seeks a Data Engineer to join our team in Herndon, VA, responsible for making data available, accessible, and secure to all stakeholders across enterprise-scale systems.

You will design, build, and optimize data collection, storage, and analytics, working with analysts to translate requirements into robust pipelines and data models while ensuring data quality and platform stability.

Qualifications

• High School Diploma and 3+ years’ experience with Data Engineering, Software Engineering or Software Development
• 3+ years’ experience coding in Python
• Experience with Database Management, SQL, and PostgreSQL
• Experience with ETL tools, data transformation, and data pipeline development
• Experience taking data collection requirements and translating those requirements into implementable solutions
• Experience working in a Linux environment.

Responsibilities

• Create robust and resilient data pipelines to connect data sources to analytics tools.
• Work with various analysts to craft clear operational and technical requirements.
• Enumerate necessary datasets and design data models and schemas to support requirements.
• Provide platform support, including problem-solving and debugging, for production issues.
• Interact and collaborate across services and communities involved in multi-domain Cyber Defense to achieve breakthrough capability improvements.
• Analyze data sources for accuracy and data prioritization, applying appropriate logic to developed solutions.

Skills

Python

SQL

PostgreSQL

ETL

Data pipelines

Linux

Data modeling

Education

Bachelor's Degree in Computer Science or related technical field

Tools

JavaScript

Node.js

Job description

MANTECH seeks a Data Engineer to join our team in Herndon, VA, responsible for making data available, accessible, and secure to all stakeholders across enterprise-scale systems.

You will design, build, and optimize data collection, storage, and analytics, working with analysts to translate requirements into robust pipelines and data models while ensuring data quality and platform stability.